PowerML.dll-Help.xml
<?xml version="1.0" encoding="utf-8" ?>
<helpItems xmlns="http://msh" schema="maml"> <!-- Cmdlet: Get-MLContext --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Get</command:verb> <command:noun>MLContext</command:noun> <command:name>Get-MLContext</command:name> <maml:description> <maml:para>Get the current (cached) MLContext.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Get the current (cached) MLContext.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __Empty --> <command:syntaxItem> <maml:name>Get-MLContext</maml:name> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> </command:parameters> <!-- InputTypes --> <command:inputTypes> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: New-MLContext --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>New</command:verb> <command:noun>MLContext</command:noun> <command:name>New-MLContext</command:name> <maml:description> <maml:para>Create a new MLContext.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Create a new MLContext.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>New-MLContext</maml:name> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NoCache --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NoCache</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PassThru --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PassThru</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>Seed</maml:name> <maml:description> <maml:para>Seed for MLContext's random number generator. Many operations in ML.NET require randomness, such as random data shuffling, random sampling, random parameter initialization, random permutation, random feature selection, and many more. MLContext's random number generator is the global source of randomness for all of such random operations. If a fixed seed is provided by seed, MLContext environment becomes deterministic, meaning that the results are repeatable and will remain the same across multiple runs.For instance in many of ML.NET's API reference example code snippets, a seed is provided. That's because we want the users to get the same output as what's included in example comments, when they run the example on their own machine. Generally though, repeatability is not a requirement and that's the default behavior. If a seed is not provided by seed, i.e. it's set to null, MLContext environment becomes non - deterministic and outputs change across multiple runs. There are many operations in ML.NET that don't use any randomness, such as min-max normalization, concatenating columns, missing value indication, etc. The behavior of those operations are deterministic regardless of the seed value. Also ML.NET trainers don't use randomness *after* the training is finished. So, the predictions from a loaded model don't depend on the seed value.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: NoCache --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NoCache</maml:name> <maml:description> <maml:para>Do not set the created context as current (cached) context and return the created context (No need to use -PassThru).</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: PassThru --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PassThru</maml:name> <maml:description> <maml:para>Return the created context.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Set-MLContext --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Set</command:verb> <command:noun>MLContext</command:noun> <command:name>Set-MLContext</command:name> <maml:description> <maml:para>Set the current (cached) MLContext.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Set the current (cached) MLContext.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Set-MLContext</maml:name> <!-- Parameter: Context --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="0"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PassThru --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PassThru</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Context --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="0"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context to set as current (cached) MLContext.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: PassThru --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PassThru</maml:name> <maml:description> <maml:para>Return the context.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.MLContext --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <maml:description> <maml:para>You can pipe the MLContext to set to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.MLContext --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <maml:description> <maml:para>You can pipe the MLContext to set to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Import-MLData --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Import</command:verb> <command:noun>MLData</command:noun> <command:name>Import-MLData</command:name> <maml:description> <maml:para>Get data from memory, files or database.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Get data from memory, files or database.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: FromMemory --> <command:syntaxItem> <maml:name>Import-MLData</maml:name> <!-- Parameter: Type --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Type</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Collections.IEnumerable</command:parameterValue> <dev:type> <maml:name>System.Collections.IEnumerable</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: FromFiles --> <command:syntaxItem> <maml:name>Import-MLData</maml:name> <!-- Parameter: Type --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Type</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="True" pipelineInput="False" position="1"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Separator --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Separator</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Char</command:parameterValue> <dev:type> <maml:name>System.Char</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: HasHeader --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>HasHeader</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AllowQuoting --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AllowQuoting</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: TrimWhitespace --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TrimWhitespace</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AllowSparse --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AllowSparse</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: FromDatabase --> <command:syntaxItem> <maml:name>Import-MLData</maml:name> <!-- Parameter: Type --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Type</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DbProvider --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>DbProvider</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Data.Common.DbProviderFactory</command:parameterValue> <dev:type> <maml:name>System.Data.Common.DbProviderFactory</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ConnectionString --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>ConnectionString</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Command --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Command</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: CommandTimeout --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>CommandTimeout</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Type --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Type</maml:name> <maml:description> <maml:para>The registered data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Data</maml:name> <maml:description> <maml:para>The data from memory.</maml:para> </maml:description> <command:parameterValue required="true">System.Collections.IEnumerable</command:parameterValue> <dev:type> <maml:name>System.Collections.IEnumerable</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="True" pipelineInput="False" position="1"> <maml:name>Path</maml:name> <maml:description> <maml:para>The path to the data file (wildcards supported).</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Separator --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Separator</maml:name> <maml:description> <maml:para>Column separator character.</maml:para> </maml:description> <command:parameterValue required="true">System.Char</command:parameterValue> <dev:type> <maml:name>System.Char</maml:name> </dev:type> <dev:defaultvalue> </dev:defaultvalue> </command:parameter> <!-- Parameter: HasHeader --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>HasHeader</maml:name> <maml:description> <maml:para>Whether the file has a header. When true, the loader will skip the first line.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AllowQuoting --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AllowQuoting</maml:name> <maml:description> <maml:para>Whether the input may include double-quoted values. This parameter is used to distinguish separator characters in an input value from actual separators. When true, separators within double quotes are treated as part of the input value. When false, all separators, even those whitin quotes, are treated as delimiting a new column. It is also used to distinguish empty values from missing values. When true, missing value are denoted by consecutive separators and empty values by "". When false, empty values are denoted by consecutive separators and missing values by the default missing value for each type documented in DataKind.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: TrimWhitespace --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TrimWhitespace</maml:name> <maml:description> <maml:para>Remove trailing whitespace from lines.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AllowSparse --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AllowSparse</maml:name> <maml:description> <maml:para>Whether the input may include sparse representations. For example, a row containing "5 2:6 4:3" means that there are 5 columns, and the only non-zero are columns 2 and 4, which have values 6 and 3, respectively. Column indices are zero-based, so columns 2 and 4 represent the 3rd and 5th columns. A column may also have dense values followed by sparse values represented in this fashion. For example, a row containing "1 2 5 2:6 4:3" represents two dense columns with values 1 and 2, followed by 5 sparsely represented columns with values 0, 0, 6, 0, and 3. The indices of the sparse columns start from 0, even though 0 represents the third column.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: DbProvider --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>DbProvider</maml:name> <maml:description> <maml:para>The factory used to create the DbConnection.</maml:para> </maml:description> <command:parameterValue required="true">System.Data.Common.DbProviderFactory</command:parameterValue> <dev:type> <maml:name>System.Data.Common.DbProviderFactory</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: ConnectionString --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>ConnectionString</maml:name> <maml:description> <maml:para>The string used to open the connection.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Command --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Command</maml:name> <maml:description> <maml:para>The text command to run against the data source.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: CommandTimeout --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>CommandTimeout</maml:name> <maml:description> <maml:para>The timeout (in seconds) for the database command.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Select-MLData --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Select</command:verb> <command:noun>MLData</command:noun> <command:name>Select-MLData</command:name> <maml:description> <maml:para>Select a subset of data in a DataView.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Select a subset of data in a DataView.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Select-MLData</maml:name> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ByColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ByKeyColumnFraction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByKeyColumnFraction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ByMissingValues --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByMissingValues</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ByColumnLowerBound --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByColumnLowerBound</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ByKeyColumnFractionLowerBound --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByKeyColumnFractionLowerBound</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ByColumnUpperBound --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByColumnUpperBound</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ByKeyColumnFractionUpperBound --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByKeyColumnFractionUpperBound</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Skip --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Skip</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Take --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Take</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Shuffle --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Shuffle</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ShuffleSeed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShuffleSeed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ShufflePoolSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShufflePoolSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontShuffleSource --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontShuffleSource</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Cache --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Cache</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> <maml:para>The input data.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: ByColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByColumn</maml:name> <maml:description> <maml:para>The name of a column to use for filtering.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ByKeyColumnFraction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByKeyColumnFraction</maml:name> <maml:description> <maml:para>The name of a column to use for filtering.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ByMissingValues --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByMissingValues</maml:name> <maml:description> <maml:para>Name of the columns to filter on. If a row is has a missing value in any of these columns, it will be dropped from the dataset.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ByColumnLowerBound --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByColumnLowerBound</maml:name> <maml:description> <maml:para>The inclusive lower bound for FilterByColumn.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>-∞</dev:defaultvalue> </command:parameter> <!-- Parameter: ByKeyColumnFractionLowerBound --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByKeyColumnFractionLowerBound</maml:name> <maml:description> <maml:para>The inclusive lower bound for FilterByKeyColumnFraction.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: ByColumnUpperBound --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByColumnUpperBound</maml:name> <maml:description> <maml:para>The exclusive upper bound for FilterByColumn.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>∞</dev:defaultvalue> </command:parameter> <!-- Parameter: ByKeyColumnFractionUpperBound --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ByKeyColumnFractionUpperBound</maml:name> <maml:description> <maml:para>The exclusive upper bound for FilterByKeyColumnFraction.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: Skip --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Skip</maml:name> <maml:description> <maml:para>Skip count rows in input.</maml:para> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Take --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Take</maml:name> <maml:description> <maml:para>Take count rows from input.</maml:para> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Shuffle --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Shuffle</maml:name> <maml:description> <maml:para>Shuffle the rows of input.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: ShuffleSeed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShuffleSeed</maml:name> <maml:description> <maml:para>The random seed. If unspecified, the random seed will be instead derived from the Context.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ShufflePoolSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShufflePoolSize</maml:name> <maml:description> <maml:para>The number of rows to hold in the pool. Setting this to 1 will turn off pool shuffling and will only perform a shuffle by reading input in a random order.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1000</dev:defaultvalue> </command:parameter> <!-- Parameter: DontShuffleSource --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontShuffleSource</maml:name> <maml:description> <maml:para>If false, the transform will not attempt to read input in a random order and only use pooling to shuffle. This parameter has no effect if the CanShuffle property of input is false.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Cache --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Cache</maml:name> <maml:description> <maml:para>The columns that must be cached whenever anything is cached. An empty array or null value means that columns are cached upon their first access. Only applied when the parameter is used.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.IDataView --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.IDataView --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Split-MLData --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Split</command:verb> <command:noun>MLData</command:noun> <command:name>Split-MLData</command:name> <maml:description> <maml:para>Split the dataset into a train and test set or into cross-validation folds of train and test sets.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Split the dataset into the train set and test set according to the given fraction, or split the dataset into cross-validation folds of train sets and test sets. Respects the samplingKeyColumnName if provided.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: Fraction --> <command:syntaxItem> <maml:name>Split-MLData</maml:name> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: TestFraction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TestFraction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SamplingKeyColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SamplingKeyColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: Folds --> <command:syntaxItem> <maml:name>Split-MLData</maml:name> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Folds --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Folds</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SamplingKeyColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SamplingKeyColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> <maml:para>The dataset to split.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: TestFraction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TestFraction</maml:name> <maml:description> <maml:para>The fraction of data to go into the test set.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,1</dev:defaultvalue> </command:parameter> <!-- Parameter: Folds --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Folds</maml:name> <maml:description> <maml:para>Number of cross-validation folds.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: SamplingKeyColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SamplingKeyColumn</maml:name> <maml:description> <maml:para>Name of a column to use for grouping rows. If two examples share the same value of the samplingKeyColumnName, they are guaranteed to appear in the same subset (train or test). This can be used to ensure no label leakage from the train to the test set. Note that when performing a Ranking Experiment, the samplingKeyColumnName must be the GroupId column. If null no row grouping will be performed.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> <maml:para>Seed for the random number generator used to select rows for the train-test split.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.IDataView --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.IDataView --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Build-MLModel --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Build</command:verb> <command:noun>MLModel</command:noun> <command:name>Build-MLModel</command:name> <maml:description> <maml:para>Train a machine learning model (Fit).</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a machine learning model (Fit).</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Build-MLModel</maml:name> <!-- Parameter: Pipeline --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Pipeline</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Pipeline --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Pipeline</maml:name> <maml:description> <maml:para>The estimator from which to train the model.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Data</maml:name> <maml:description> <maml:para>The data to train the model.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to train to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to train to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Export-MLModel --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Export</command:verb> <command:noun>MLModel</command:noun> <command:name>Export-MLModel</command:name> <maml:description> <maml:para>Export a machine learning model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Export a machine learning model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Export-MLModel</maml:name> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Model</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Schema --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Schema</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.DataViewSchema</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.DataViewSchema</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Force --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Force</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PassThru --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PassThru</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Model</maml:name> <maml:description> <maml:para>The model to save to file.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>Path</maml:name> <maml:description> <maml:para>The location where to save the model.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Schema --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Schema</maml:name> <maml:description> <maml:para>The data schema.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.DataViewSchema</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.DataViewSchema</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Force --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Force</maml:name> <maml:description> <maml:para>Overwrite existing files.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: PassThru --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PassThru</maml:name> <maml:description> <maml:para>Return the model.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Import-MLModel --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Import</command:verb> <command:noun>MLModel</command:noun> <command:name>Import-MLModel</command:name> <maml:description> <maml:para>Import a machine learning model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Import a machine learning model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Import-MLModel</maml:name> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Path</maml:name> <maml:description> <maml:para>The location of the model to load.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Test-MLModel --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Test</command:verb> <command:noun>MLModel</command:noun> <command:name>Test-MLModel</command:name> <maml:description> <maml:para>Evaluate a machine learning model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Evaluate a machine learning model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: BinaryClassification --> <command:syntaxItem> <maml:name>Test-MLModel</maml:name> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Model</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: BinaryClassification --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>BinaryClassification</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ScoreColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ProbabilityColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ProbabilityColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PredictedLabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PredictedLabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: MulticlassClassification --> <command:syntaxItem> <maml:name>Test-MLModel</maml:name> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Model</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MulticlassClassification --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>MulticlassClassification</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ScoreColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PredictedLabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PredictedLabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: TopKPredictionCount --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TopKPredictionCount</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: Regression --> <command:syntaxItem> <maml:name>Test-MLModel</maml:name> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Model</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Regression --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Regression</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ScoreColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Model</maml:name> <maml:description> <maml:para>The transformer to evaluate.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>Data</maml:name> <maml:description> <maml:para>The data to evaluate the model.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: BinaryClassification --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>BinaryClassification</maml:name> <maml:description> <maml:para>Test a binary classification model.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: MulticlassClassification --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>MulticlassClassification</maml:name> <maml:description> <maml:para>Test a multiclass classification model.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Regression --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Regression</maml:name> <maml:description> <maml:para>Test a regression model.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The label column name.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ScoreColumn</maml:name> <maml:description> <maml:para>The score column name.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Score</dev:defaultvalue> </command:parameter> <!-- Parameter: ProbabilityColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ProbabilityColumn</maml:name> <maml:description> <maml:para>The probability column name.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Probability</dev:defaultvalue> </command:parameter> <!-- Parameter: PredictedLabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PredictedLabelColumn</maml:name> <maml:description> <maml:para>The predicted label column name</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>PredictedLabel</dev:defaultvalue> </command:parameter> <!-- Parameter: TopKPredictionCount --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TopKPredictionCount</maml:name> <maml:description> <maml:para>TopKPredictionCount</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-AveragedPerceptronTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>AveragedPerceptronTrainer</command:noun> <command:name>Add-AveragedPerceptronTrainer</command:name> <maml:description> <maml:para>Predict a target using a linear binary classification model trained with the averaged perceptron.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predict a target using a linear binary classification model trained with the averaged perceptron.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-AveragedPerceptronTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.IClassificationLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.IClassificationLoss</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DecreaseLearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DecreaseLearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> <maml:para>The loss function minimized in the training process. If null, HingeLoss would be used and lead to a max-margin averaged perceptron trainer.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.IClassificationLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.IClassificationLoss</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The initial learning rate used by SGD.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: DecreaseLearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DecreaseLearningRate</maml:name> <maml:description> <maml:para>True to decrease the learningRate as iterations progress; otherwise, false.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>Number of passes through the training dataset.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-FastForestBinaryTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>FastForestBinaryTrainer</command:noun> <command:name>Add-FastForestBinaryTrainer</command:name> <maml:description> <maml:para>Train a decision tree binary classification model using Fast Forest.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a decision tree binary classification model using Fast Forest.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-FastForestBinaryTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> <maml:para>The maximum number of leaves per decision tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> <maml:para>Total number of decision trees to create in the ensemble.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> <maml:para>The minimal number of data points required to form a new tree leaf.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-FastForestRegressionTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>FastForestRegressionTrainer</command:noun> <command:name>Add-FastForestRegressionTrainer</command:name> <maml:description> <maml:para>Train a decision tree regression model using Fast Forest.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a decision tree regression model using Fast Forest.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-FastForestRegressionTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> <maml:para>The maximum number of leaves per decision tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> <maml:para>Total number of decision trees to create in the ensemble.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> <maml:para>The minimal number of data points required to form a new tree leaf.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-FastTreeBinaryTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>FastTreeBinaryTrainer</command:noun> <command:name>Add-FastTreeBinaryTrainer</command:name> <maml:description> <maml:para>Train a decision tree binary classification model using FastTree.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a decision tree binary classification model using FastTree.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-FastTreeBinaryTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> <maml:para>The maximum number of leaves per decision tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> <maml:para>Total number of decision trees to create in the ensemble.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> <maml:para>The minimal number of data points required to form a new tree leaf.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The learning rate.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,2</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-FastTreeRankingTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>FastTreeRankingTrainer</command:noun> <command:name>Add-FastTreeRankingTrainer</command:name> <maml:description> <maml:para>Train a decision tree ranking model using FastTree.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a decision tree ranking model using FastTree.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-FastTreeRankingTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: RowGroupColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>RowGroupColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="3"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single or KeyDataViewType.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: RowGroupColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>RowGroupColumn</maml:name> <maml:description> <maml:para>The name of the group column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>GroupId</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="3"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> <maml:para>The maximum number of leaves per decision tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> <maml:para>Total number of decision trees to create in the ensemble.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> <maml:para>The minimal number of data points required to form a new tree leaf.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The learning rate.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,2</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-FastTreeRegressionTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>FastTreeRegressionTrainer</command:noun> <command:name>Add-FastTreeRegressionTrainer</command:name> <maml:description> <maml:para>Train a decision tree regression model using FastTree.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a decision tree regression model using FastTree.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-FastTreeRegressionTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> <maml:para>The maximum number of leaves per decision tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> <maml:para>Total number of decision trees to create in the ensemble.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> <maml:para>The minimal number of data points required to form a new tree leaf.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The learning rate.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,2</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-FastTreeTweedieTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>FastTreeTweedieTrainer</command:noun> <command:name>Add-FastTreeTweedieTrainer</command:name> <maml:description> <maml:para>Train a decision tree regression model using Tweedie loss function. This trainer is a generalization of Poisson, compound Poisson, and gamma regression.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a decision tree regression model using Tweedie loss function. This trainer is a generalization of Poisson, compound Poisson, and gamma regression.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-FastTreeTweedieTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> <maml:para>The maximum number of leaves per decision tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: Trees --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Trees</maml:name> <maml:description> <maml:para>Total number of decision trees to create in the ensemble.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> <maml:para>The minimal number of data points required to form a new tree leaf.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The learning rate.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,2</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-FieldAwareFactorizationMachineTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>FieldAwareFactorizationMachineTrainer</command:noun> <command:name>Add-FieldAwareFactorizationMachineTrainer</command:name> <maml:description> <maml:para>Predict a target using a field-aware factorization machine model trained using a stochastic gradient method.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predict a target using a field-aware factorization machine model trained using a stochastic gradient method.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-FieldAwareFactorizationMachineTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name(s) of the feature column(s). The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-GamBinaryTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>GamBinaryTrainer</command:noun> <command:name>Add-GamBinaryTrainer</command:name> <maml:description> <maml:para>Train a binary classification model with generalized additive models (GAM).</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a binary classification model with generalized additive models (GAM).</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-GamBinaryTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxBinCountPerFeature --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxBinCountPerFeature</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The number of iterations to use in learning the features.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>9500</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxBinCountPerFeature --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxBinCountPerFeature</maml:name> <maml:description> <maml:para>The maximum number of bins to use to approximate features.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>255</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The learning rate. GAMs work best with a small learning rate.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,002</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-GamRegressionTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>GamRegressionTrainer</command:noun> <command:name>Add-GamRegressionTrainer</command:name> <maml:description> <maml:para>Train a regression model with generalized additive models (GAM).</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a regression model with generalized additive models (GAM).</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-GamRegressionTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxBinCountPerFeature --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxBinCountPerFeature</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The number of iterations to use in learning the features.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>9500</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxBinCountPerFeature --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxBinCountPerFeature</maml:name> <maml:description> <maml:para>The maximum number of bins to use to approximate features.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>255</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The learning rate. GAMs work best with a small learning rate.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,002</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ImageClassificationTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ImageClassificationTrainer</command:noun> <command:name>Add-ImageClassificationTrainer</command:name> <maml:description> <maml:para>Train a Deep Neural Network (DNN) to classify images.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a Deep Neural Network (DNN) to classify images.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ImageClassificationTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ScoreColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PredictedLabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="3"> <maml:name>PredictedLabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ValidationSet --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ValidationSet</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ValidationSetFraction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ValidationSetFraction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Arch --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Arch</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Vision.Architecture</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Vision.Architecture</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: BatchSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>BatchSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Epoch --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Epoch</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MetricsCallback --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MetricsCallback</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.ScriptBlock</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.ScriptBlock</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: WorkspacePath --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>WorkspacePath</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: TrainSetBottleneckCachedValuesPath --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TrainSetBottleneckCachedValuesPath</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ValidationSetBottleneckCachedValuesPath --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ValidationSetBottleneckCachedValuesPath</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FinalModelPrefix --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>FinalModelPrefix</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontTestOnTrainSet --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontTestOnTrainSet</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ReuseTrainSetBottleneckCachedValues --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ReuseTrainSetBottleneckCachedValues</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ReuseValidationSetBottleneckCachedValues --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ReuseValidationSetBottleneckCachedValues</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The default value is "Label".</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single. The default value is "Features".</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ScoreColumn</maml:name> <maml:description> <maml:para>The name of the score column. The default value is "Score".</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Score</dev:defaultvalue> </command:parameter> <!-- Parameter: PredictedLabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="3"> <maml:name>PredictedLabelColumn</maml:name> <maml:description> <maml:para>The name of the predicted label column. The default value is "PredictedLabel".</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>PredictedLabel</dev:defaultvalue> </command:parameter> <!-- Parameter: ValidationSet --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ValidationSet</maml:name> <maml:description> <maml:para>The validation set used while training to improve model quality. The default value is null.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ValidationSetFraction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ValidationSetFraction</maml:name> <maml:description> <maml:para>When validation set is not passed then a fraction of train set is used as validation. To disable this behavior set ValidationSetFraction to null. Accepts value between 0 and 1.0. The default value is 0.1 or 10% of the trainset.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>0,1</dev:defaultvalue> </command:parameter> <!-- Parameter: Arch --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Arch</maml:name> <maml:description> <maml:para>Specifies the model architecture to be used in the case of image classification training using transfer learning. The default value is ResnetV250.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Vision.Architecture</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Vision.Architecture</maml:name> </dev:type> <dev:defaultvalue>ResnetV250</dev:defaultvalue> </command:parameter> <!-- Parameter: BatchSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>BatchSize</maml:name> <maml:description> <maml:para>Number of samples to use for mini-batch training. The default value is 10.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: Epoch --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Epoch</maml:name> <maml:description> <maml:para>Number of training iterations. The default value is 200.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>200</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>Learning rate to use during optimization. The default value is 0.01.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>0,01</dev:defaultvalue> </command:parameter> <!-- Parameter: MetricsCallback --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MetricsCallback</maml:name> <maml:description> <maml:para>Callback to report statistics on accuracy/cross entropy during training phase. The default value is null.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.ScriptBlock</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.ScriptBlock</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: WorkspacePath --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>WorkspacePath</maml:name> <maml:description> <maml:para>Indicates the path where the image bottleneck cache files and trained model are saved. The default value is a new temporary directory.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>New temporary directory</dev:defaultvalue> </command:parameter> <!-- Parameter: TrainSetBottleneckCachedValuesPath --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TrainSetBottleneckCachedValuesPath</maml:name> <maml:description> <maml:para>Indicates the file name within the workspace to store trainset bottleneck values for caching. The default value is "trainSetBottleneckFile.csv".</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>trainSetBottleneckFile.csv</dev:defaultvalue> </command:parameter> <!-- Parameter: ValidationSetBottleneckCachedValuesPath --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ValidationSetBottleneckCachedValuesPath</maml:name> <maml:description> <maml:para>Indicates the file name within the workspace to store validationset bottleneck values for caching. The default value is "validationSetBottleneckFile.csv".</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>validationSetBottleneckFile.csv</dev:defaultvalue> </command:parameter> <!-- Parameter: FinalModelPrefix --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>FinalModelPrefix</maml:name> <maml:description> <maml:para>Final model and checkpoint files/folder prefix for storing graph files. The default value is "custom_retrained_model_based_on_".</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>200</dev:defaultvalue> </command:parameter> <!-- Parameter: DontTestOnTrainSet --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontTestOnTrainSet</maml:name> <maml:description> <maml:para>Indicates to not evaluate the model on train set after every epoch.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: ReuseTrainSetBottleneckCachedValues --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ReuseTrainSetBottleneckCachedValues</maml:name> <maml:description> <maml:para>Indicates to not re-compute cached bottleneck trainset values if already available in the bin folder.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: ReuseValidationSetBottleneckCachedValues --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ReuseValidationSetBottleneckCachedValues</maml:name> <maml:description> <maml:para>Indicates to not re-compute cached bottleneck validationset values if already available in the bin folder.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-KMeansTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>KMeansTrainer</command:noun> <command:name>Add-KMeansTrainer</command:name> <maml:description> <maml:para>Train a KMeans cluster.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a KMeans cluster.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-KMeansTrainer</maml:name> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Clusters --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Clusters</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Clusters --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Clusters</maml:name> <maml:description> <maml:para>The number of clusters to use for KMeans.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>5</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LbfgsLogisticRegressionBinaryTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LbfgsLogisticRegressionBinaryTrainer</command:noun> <command:name>Add-LbfgsLogisticRegressionBinaryTrainer</command:name> <maml:description> <maml:para>Predict a target using a linear logistic regression model trained with L-BFGS method.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predict a target using a linear logistic regression model trained with L-BFGS method.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LbfgsLogisticRegressionBinaryTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OptimizationTolerance --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OptimizationTolerance</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: HistorySize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>HistorySize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> <maml:para>The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: OptimizationTolerance --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OptimizationTolerance</maml:name> <maml:description> <maml:para>Threshold for optimizer convergence.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1E-07</dev:defaultvalue> </command:parameter> <!-- Parameter: HistorySize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>HistorySize</maml:name> <maml:description> <maml:para>Memory size for LbfgsLogisticRegressionBinaryTrainer. Low=faster, less accurate.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LbfgsMaximumEntropyMulticlassTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LbfgsMaximumEntropyMulticlassTrainer</command:noun> <command:name>Add-LbfgsMaximumEntropyMulticlassTrainer</command:name> <maml:description> <maml:para>Predict a target using a maximum entropy multiclass classifier trained with L-BFGS method.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predict a target using a maximum entropy multiclass classifier trained with L-BFGS method.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LbfgsMaximumEntropyMulticlassTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OptimizationTolerance --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OptimizationTolerance</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: HistorySize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>HistorySize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be KeyDataViewType.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> <maml:para>The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: OptimizationTolerance --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OptimizationTolerance</maml:name> <maml:description> <maml:para>Threshold for optimizer convergence.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1E-07</dev:defaultvalue> </command:parameter> <!-- Parameter: HistorySize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>HistorySize</maml:name> <maml:description> <maml:para>Memory size for LbfgsLogisticRegressionBinaryTrainer. Low=faster, less accurate.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LbfgsPoissonRegressionTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LbfgsPoissonRegressionTrainer</command:noun> <command:name>Add-LbfgsPoissonRegressionTrainer</command:name> <maml:description> <maml:para>Train a Poisson regression model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a Poisson regression model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LbfgsPoissonRegressionTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OptimizationTolerance --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OptimizationTolerance</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: HistorySize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>HistorySize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> <maml:para>The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: OptimizationTolerance --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OptimizationTolerance</maml:name> <maml:description> <maml:para>Threshold for optimizer convergence.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1E-07</dev:defaultvalue> </command:parameter> <!-- Parameter: HistorySize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>HistorySize</maml:name> <maml:description> <maml:para>Memory size for LbfgsLogisticRegressionBinaryTrainer. Low=faster, less accurate.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LdSvmTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LdSvmTrainer</command:noun> <command:name>Add-LdSvmTrainer</command:name> <maml:description> <maml:para>Predict a target using a non-linear binary classification model trained with Local Deep SVM.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predict a target using a non-linear binary classification model trained with Local Deep SVM.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LdSvmTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: TreeDepth --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TreeDepth</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NoBias --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NoBias</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NoCachedData --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NoCachedData</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The number of iterations.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>15000</dev:defaultvalue> </command:parameter> <!-- Parameter: TreeDepth --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TreeDepth</maml:name> <maml:description> <maml:para>The depth of a Local Deep SVM tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>3</dev:defaultvalue> </command:parameter> <!-- Parameter: NoBias --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NoBias</maml:name> <maml:description> <maml:para>Indicates that the model does not have a bias term.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: NoCachedData --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NoCachedData</maml:name> <maml:description> <maml:para>Indicates that we should not iterate over the data using a cache.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LightGbmBinaryTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LightGbmBinaryTrainer</command:noun> <command:name>Add-LightGbmBinaryTrainer</command:name> <maml:description> <maml:para>Train a boosted decision tree binary classification model using LightGBM.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a boosted decision tree binary classification model using LightGBM.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LightGbmBinaryTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> <maml:para>The maximum number of leaves in one tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> <maml:para>The minimal number of data points required to form a new tree leaf.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The learning rate.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The number of boosting iterations. A new tree is created in each iteration, so this is equivalent to the number of trees.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LightGbmMulticlassTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LightGbmMulticlassTrainer</command:noun> <command:name>Add-LightGbmMulticlassTrainer</command:name> <maml:description> <maml:para>Train a boosted decision tree multi-class classification model using LightGBM.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a boosted decision tree multi-class classification model using LightGBM.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LightGbmMulticlassTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be KeyDataViewType.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> <maml:para>The maximum number of leaves in one tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> <maml:para>The minimal number of data points required to form a new tree leaf.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The learning rate.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The number of boosting iterations. A new tree is created in each iteration, so this is equivalent to the number of trees.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LightGbmRankingTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LightGbmRankingTrainer</command:noun> <command:name>Add-LightGbmRankingTrainer</command:name> <maml:description> <maml:para>Train a boosted decision tree ranking model using LightGBM.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a boosted decision tree ranking model using LightGBM.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LightGbmRankingTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: RowGroupColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>RowGroupColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="3"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single or KeyDataViewType.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: RowGroupColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>RowGroupColumn</maml:name> <maml:description> <maml:para>The name of the group column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>GroupId</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="3"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> <maml:para>The maximum number of leaves in one tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> <maml:para>The minimal number of data points required to form a new tree leaf.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The learning rate.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The number of boosting iterations. A new tree is created in each iteration, so this is equivalent to the number of trees.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LightGbmRegressionTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LightGbmRegressionTrainer</command:noun> <command:name>Add-LightGbmRegressionTrainer</command:name> <maml:description> <maml:para>Train a boosted decision tree regression model using LightGBM.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a boosted decision tree regression model using LightGBM.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LightGbmRegressionTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Leaves --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Leaves</maml:name> <maml:description> <maml:para>The maximum number of leaves in one tree.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExampleCountPerLeaf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExampleCountPerLeaf</maml:name> <maml:description> <maml:para>The minimal number of data points required to form a new tree leaf.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The learning rate.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The number of boosting iterations. A new tree is created in each iteration, so this is equivalent to the number of trees.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LinearSvmTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LinearSvmTrainer</command:noun> <command:name>Add-LinearSvmTrainer</command:name> <maml:description> <maml:para>Predict a target using a linear binary classification model trained with Linear SVM.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predict a target using a linear binary classification model trained with Linear SVM.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LinearSvmTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The number of training iterations.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-MatrixFactorizationTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>MatrixFactorizationTrainer</command:noun> <command:name>Add-MatrixFactorizationTrainer</command:name> <maml:description> <maml:para>Predict elements in a matrix using matrix factorization (also known as a type of collaborative filtering).</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predict elements in a matrix using matrix factorization (also known as a type of collaborative filtering).</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-MatrixFactorizationTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ColumnIndexColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>ColumnIndexColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: RowIndexColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>RowIndexColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ApproximationRank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ApproximationRank</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: ColumnIndexColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>ColumnIndexColumn</maml:name> <maml:description> <maml:para>The name of the column hosting the matrix's column IDs. The column data must be KeyDataViewType.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: RowIndexColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>RowIndexColumn</maml:name> <maml:description> <maml:para>The name of the column hosting the matrix's row IDs. The column data must be KeyDataViewType.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: ApproximationRank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ApproximationRank</maml:name> <maml:description> <maml:para>Rank of approximation matrices.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>8</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>Initial learning rate. It specifies the speed of the training algorithm.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,1</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The number of training iterations.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NaiveBayesMulticlassTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NaiveBayesMulticlassTrainer</command:noun> <command:name>Add-NaiveBayesMulticlassTrainer</command:name> <maml:description> <maml:para>Predicts a multiclass target using a Naive Bayes model that supports binary feature values.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predicts a multiclass target using a Naive Bayes model that supports binary feature values.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NaiveBayesMulticlassTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-OlsTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>OlsTrainer</command:noun> <command:name>Add-OlsTrainer</command:name> <maml:description> <maml:para>Train a linear regression model using ordinary least squares (OLS) for estimating the parameters of the linear regression model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a linear regression model using ordinary least squares (OLS) for estimating the parameters of the linear regression model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-OlsTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-OnlineGradientDescentTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>OnlineGradientDescentTrainer</command:noun> <command:name>Add-OnlineGradientDescentTrainer</command:name> <maml:description> <maml:para>Train a linear regression model using Online Gradient Descent (OGD) for estimating the parameters of the linear regression model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a linear regression model using Online Gradient Descent (OGD) for estimating the parameters of the linear regression model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-OnlineGradientDescentTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.IRegressionLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.IRegressionLoss</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontDecreaseLearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontDecreaseLearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> <maml:para>The loss function minimized in the training process. Using, for example, SquaredLoss leads to a least square trainer.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.IRegressionLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.IRegressionLoss</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The initial learning rate used by SGD.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>0,1</dev:defaultvalue> </command:parameter> <!-- Parameter: DontDecreaseLearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontDecreaseLearningRate</maml:name> <maml:description> <maml:para>Do not decrease learning rate as iterations progress.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>Number of passes through the training dataset.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-PriorTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>PriorTrainer</command:noun> <command:name>Add-PriorTrainer</command:name> <maml:description> <maml:para>Predicting a target using a binary classification model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predicting a target using a binary classification model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-PriorTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-RandomizedPcaTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>RandomizedPcaTrainer</command:noun> <command:name>Add-RandomizedPcaTrainer</command:name> <maml:description> <maml:para>Train an approximate PCA using Randomized SVD algorithm.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train an approximate PCA using Randomized SVD algorithm.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-RandomizedPcaTrainer</maml:name> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Rank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Rank</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Oversampling --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Oversampling</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontEnsureZeroMean --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontEnsureZeroMean</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional). To use the weight column, the column data must be of type Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Rank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Rank</maml:name> <maml:description> <maml:para>The number of components in the PCA.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: Oversampling --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Oversampling</maml:name> <maml:description> <maml:para>Oversampling parameter for randomized PCA training.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: DontEnsureZeroMean --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontEnsureZeroMean</maml:name> <maml:description> <maml:para>If enabled, data is not centered to be zero mean.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> <maml:para>The seed for random number generation.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SdcaLogisticRegressionBinaryTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SdcaLogisticRegressionBinaryTrainer</command:noun> <command:name>Add-SdcaLogisticRegressionBinaryTrainer</command:name> <maml:description> <maml:para>Train a binary logistic regression classification model using the stochastic dual coordinate ascent method. The trained model is calibrated and can produce probability by feeding the output value of the linear function to a PlattCalibrator.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a binary logistic regression classification model using the stochastic dual coordinate ascent method. The trained model is calibrated and can produce probability by feeding the output value of the linear function to a PlattCalibrator.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SdcaLogisticRegressionBinaryTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> <maml:para>The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> <maml:para>The maximum number of passes to perform over the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SdcaMaximumEntropyMulticlassTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SdcaMaximumEntropyMulticlassTrainer</command:noun> <command:name>Add-SdcaMaximumEntropyMulticlassTrainer</command:name> <maml:description> <maml:para>Predict a target using a maximum entropy multiclass classifier. The trained model MaximumEntropyModelParameters produces probabilities of classes.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predict a target using a maximum entropy multiclass classifier. The trained model MaximumEntropyModelParameters produces probabilities of classes.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SdcaMaximumEntropyMulticlassTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be KeyDataViewType.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> <maml:para>The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> <maml:para>The maximum number of passes to perform over the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SdcaNonCalibratedBinaryTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SdcaNonCalibratedBinaryTrainer</command:noun> <command:name>Add-SdcaNonCalibratedBinaryTrainer</command:name> <maml:description> <maml:para>Train a binary logistic regression classification model using the stochastic dual coordinate ascent method.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train a binary logistic regression classification model using the stochastic dual coordinate ascent method.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SdcaNonCalibratedBinaryTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.ISupportSdcaClassificationLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.ISupportSdcaClassificationLoss</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> <maml:para>The loss function minimized in the training process. Defaults to LogLoss if not specified.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.ISupportSdcaClassificationLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.ISupportSdcaClassificationLoss</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> <maml:para>The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> <maml:para>The maximum number of passes to perform over the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SdcaNonCalibratedMulticlassTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SdcaNonCalibratedMulticlassTrainer</command:noun> <command:name>Add-SdcaNonCalibratedMulticlassTrainer</command:name> <maml:description> <maml:para>Predict a target using a linear multiclass classifier. The trained model LinearMulticlassModelParameters produces probabilities of classes.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Predict a target using a linear multiclass classifier. The trained model LinearMulticlassModelParameters produces probabilities of classes.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SdcaNonCalibratedMulticlassTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.ISupportSdcaClassificationLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.ISupportSdcaClassificationLoss</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be KeyDataViewType.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> <maml:para>The loss function minimized in the training process. Defaults to LogLoss if not specified.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.ISupportSdcaClassificationLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.ISupportSdcaClassificationLoss</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> <maml:para>The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> <maml:para>The maximum number of passes to perform over the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SdcaRegressionTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SdcaRegressionTrainer</command:noun> <command:name>Add-SdcaRegressionTrainer</command:name> <maml:description> <maml:para>Training a regression model using the stochastic dual coordinate ascent method.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Training a regression model using the stochastic dual coordinate ascent method.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SdcaRegressionTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.ISupportSdcaRegressionLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.ISupportSdcaRegressionLoss</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> <maml:para>The loss function minimized in the training process. Using, for example, its default SquaredLoss leads to a least square trainer.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.ISupportSdcaRegressionLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.ISupportSdcaRegressionLoss</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L1Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L1Regularization</maml:name> <maml:description> <maml:para>The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> <maml:para>The maximum number of passes to perform over the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SgdCalibratedBinaryTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SgdCalibratedBinaryTrainer</command:noun> <command:name>Add-SgdCalibratedBinaryTrainer</command:name> <maml:description> <maml:para>Train logistic regression using a parallel stochastic gradient method. The trained model is calibrated and can produce probability by feeding the output value of the linear function to a PlattCalibrator.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train logistic regression using a parallel stochastic gradient method. The trained model is calibrated and can produce probability by feeding the output value of the linear function to a PlattCalibrator.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SgdCalibratedBinaryTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column, or dependent variable. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The maximum number of passes through the training dataset; set to 1 to simulate online learning.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The initial learning rate used by SGD.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,01</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1E-06</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SgdNonCalibratedBinaryTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SgdNonCalibratedBinaryTrainer</command:noun> <command:name>Add-SgdNonCalibratedBinaryTrainer</command:name> <maml:description> <maml:para>Train logistic regression using a parallel stochastic gradient method.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train logistic regression using a parallel stochastic gradient method.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SgdNonCalibratedBinaryTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.IClassificationLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.IClassificationLoss</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column, or dependent variable. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LossFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LossFunction</maml:name> <maml:description> <maml:para>The loss function minimized in the training process. Using, for example, HingeLoss leads to a support vector machine trainer.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Trainers.IClassificationLoss</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Trainers.IClassificationLoss</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>The maximum number of passes through the training dataset; set to 1 to simulate online learning.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: LearningRate --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LearningRate</maml:name> <maml:description> <maml:para>The initial learning rate used by SGD.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,01</dev:defaultvalue> </command:parameter> <!-- Parameter: L2Regularization --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>L2Regularization</maml:name> <maml:description> <maml:para>The L2 weight for regularization.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1E-06</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SymbolicSgdLogisticRegressionBinaryTrainer --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SymbolicSgdLogisticRegressionBinaryTrainer</command:noun> <command:name>Add-SymbolicSgdLogisticRegressionBinaryTrainer</command:name> <maml:description> <maml:para>Train logistic regression using a parallel stochastic gradient method.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Train logistic regression using a parallel stochastic gradient method.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SymbolicSgdLogisticRegressionBinaryTrainer</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column, or dependent variable. The column data must be Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: FeatureColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>FeatureColumn</maml:name> <maml:description> <maml:para>The name of the feature column. The column data must be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Features</dev:defaultvalue> </command:parameter> <!-- Parameter: Iterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Iterations</maml:name> <maml:description> <maml:para>Number of training iterations.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>50</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ApplyOnnxModelTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ApplyOnnxModelTransform</command:noun> <command:name>Add-ApplyOnnxModelTransform</command:name> <maml:description> <maml:para>Transform the input data with an imported ONNX model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transform the input data with an imported ONNX model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: Single --> <command:syntaxItem> <maml:name>Add-ApplyOnnxModelTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ShapeDictionary --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShapeDictionary</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Collections.Generic.IDictionary<System.String, System.Int32[]></command:parameterValue> <dev:type> <maml:name>System.Collections.Generic.IDictionary<System.String, System.Int32[]></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: GpuDeviceId --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>GpuDeviceId</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FallbackToCpu --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>FallbackToCpu</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: Multiple --> <command:syntaxItem> <maml:name>Add-ApplyOnnxModelTransform</maml:name> <!-- Parameter: OutputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputColumns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>InputColumns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ShapeDictionary --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShapeDictionary</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Collections.Generic.IDictionary<System.String, System.Int32[]></command:parameterValue> <dev:type> <maml:name>System.Collections.Generic.IDictionary<System.String, System.Int32[]></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: GpuDeviceId --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>GpuDeviceId</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: FallbackToCpu --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>FallbackToCpu</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>The output column resulting from the transformation.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: OutputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputColumns</maml:name> <maml:description> <maml:para>The output columns resulting from the transformation.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>The input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>InputColumns</maml:name> <maml:description> <maml:para>The input columns.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Path</maml:name> <maml:description> <maml:para>The path of the file containing the ONNX model.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: ShapeDictionary --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShapeDictionary</maml:name> <maml:description> <maml:para>ONNX shapes to be used over those loaded from modelFile. For keys use names as stated in the ONNX model, e.g. "input". Stating the shapes with this parameter is particularly useful for working with variable dimension inputs and outputs.</maml:para> </maml:description> <command:parameterValue required="true">System.Collections.Generic.IDictionary<System.String, System.Int32[]></command:parameterValue> <dev:type> <maml:name>System.Collections.Generic.IDictionary<System.String, System.Int32[]></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: GpuDeviceId --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>GpuDeviceId</maml:name> <maml:description> <maml:para>Optional GPU device ID to run execution on, null to run on CPU.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: FallbackToCpu --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>FallbackToCpu</maml:name> <maml:description> <maml:para>If GPU error, raise exception or fallback to CPU.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ApplyWordEmbeddingTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ApplyWordEmbeddingTransform</command:noun> <command:name>Add-ApplyWordEmbeddingTransform</command:name> <maml:description> <maml:para>Convert vectors of text tokens into sentence vectors using a pre-trained model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert vectors of text tokens into sentence vectors using a pre-trained model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: PretrainedModel --> <command:syntaxItem> <maml:name>Add-ApplyWordEmbeddingTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ModelKind --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ModelKind</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.PretrainedModelKind</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.PretrainedModelKind</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: CustomModel --> <command:syntaxItem> <maml:name>Add-ApplyWordEmbeddingTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be a vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. This estimator operates over known-size vector of text data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ModelKind --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ModelKind</maml:name> <maml:description> <maml:para>The embeddings PretrainedModelKind to use.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.PretrainedModelKind</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.PretrainedModelKind</maml:name> </dev:type> <dev:defaultvalue>SentimentSpecificWordEmbedding</dev:defaultvalue> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Path</maml:name> <maml:description> <maml:para>The path of the pre-trained embeddings model to use.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ApproximatedKernelMapTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ApproximatedKernelMapTransform</command:noun> <command:name>Add-ApproximatedKernelMapTransform</command:name> <maml:description> <maml:para>Map each input vector onto a lower dimensional feature space, where inner products approximate a kernel function, so that the features can be used as inputs to the linear algorithms.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Map each input vector onto a lower dimensional feature space, where inner products approximate a kernel function, so that the features can be used as inputs to the linear algorithms.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ApproximatedKernelMapTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Rank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Rank</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: UseCosAndSinBases --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>UseCosAndSinBases</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Generator --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Generator</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.KernelBase</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.KernelBase</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The data type on this column will be a known-sized vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. If set to null, the value of the outputColumnName will be used as source. This estimator operates on known-sized vector of Single data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Rank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Rank</maml:name> <maml:description> <maml:para>The dimension of the feature space to map the input to.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1000</dev:defaultvalue> </command:parameter> <!-- Parameter: UseCosAndSinBases --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>UseCosAndSinBases</maml:name> <maml:description> <maml:para>If true, use both of cos and sin basis functions to create two features for every random Fourier frequency. Otherwise, only cos bases would be used. Note that if set to true, the dimension of the output feature space will be 2*rank.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Generator --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Generator</maml:name> <maml:description> <maml:para>The argument that indicates which kernel to use. The two available implementations are GaussianKernel and LaplacianKernel.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.KernelBase</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.KernelBase</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> <maml:para>The seed of the random number generator for generating the new features (if unspecified, the global random is used).</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-CacheCheckpoint --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>CacheCheckpoint</command:noun> <command:name>Add-CacheCheckpoint</command:name> <maml:description> <maml:para>Append a caching checkpoint to an estimator chain.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Append a caching checkpoint to an estimator chain.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-CacheCheckpoint</maml:name> <!-- Parameter: AppendTo --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: AppendTo --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-CalculateFeatureContribution --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>CalculateFeatureContribution</command:noun> <command:name>Add-CalculateFeatureContribution</command:name> <maml:description> <maml:para>Calculate contribution scores for each element of a feature vector.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Calculate contribution scores for each element of a feature vector.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-CalculateFeatureContribution</maml:name> <!-- Parameter: Transformer --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Transformer</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.ISingleFeaturePredictionTransformer<Microsoft.ML.Trainers.ICalculateFeatureContribution></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.ISingleFeaturePredictionTransformer<Microsoft.ML.Trainers.ICalculateFeatureContribution></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PositiveContributions --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PositiveContributions</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NegativeContributions --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NegativeContributions</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontNormalize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontNormalize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Transformer --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Transformer</maml:name> <maml:description> <maml:para>A ISingleFeaturePredictionTransformer that supports Feature Contribution Calculation, and which will also be used for scoring.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.ISingleFeaturePredictionTransformer<Microsoft.ML.Trainers.ICalculateFeatureContribution></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.ISingleFeaturePredictionTransformer<Microsoft.ML.Trainers.ICalculateFeatureContribution></maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: PositiveContributions --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PositiveContributions</maml:name> <maml:description> <maml:para>The number of positive contributions to report, sorted from highest magnitude to lowest magnitude. Note that if there are fewer features with positive contributions than numberOfPositiveContributions, the rest will be returned as zeros.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: NegativeContributions --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NegativeContributions</maml:name> <maml:description> <maml:para>The number of negative contributions to report, sorted from highest magnitude to lowest magnitude. Note that if there are fewer features with negative contributions than numberOfNegativeContributions, the rest will be returned as zeros.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: DontNormalize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontNormalize</maml:name> <maml:description> <maml:para>Whether the feature contributions should be normalized to the [-1, 1] interval.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ConcatenateTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ConcatenateTransform</command:noun> <command:name>Add-ConcatenateTransform</command:name> <maml:description> <maml:para>Concatenate one or more input columns into a new output column.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Concatenate one or more input columns into a new output column.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ConcatenateTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnNames. This column's data type will be a vector of the input columns' data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumns</maml:name> <maml:description> <maml:para>Name of the columns to concatenate. This estimator operates over any data type except key type. If more that one column is provided, they must all have the same data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ConvertToGrayscaleTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ConvertToGrayscaleTransform</command:noun> <command:name>Add-ConvertToGrayscaleTransform</command:name> <maml:description> <maml:para>Convert an image to grayscale.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert an image to grayscale.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ConvertToGrayscaleTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be the same as that of the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to convert images to grayscale from. This estimator operates only on MLImage.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ConvertToImageTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ConvertToImageTransform</command:noun> <command:name>Add-ConvertToImageTransform</command:name> <maml:description> <maml:para>Convert a vector of pixels to ImageDataViewType.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert a vector of pixels to ImageDataViewType.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ConvertToImageTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Height --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Height</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Width --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>Width</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Colors --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Colors</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.ColorBits</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.ColorBits</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ColorsOrder --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ColorsOrder</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.ColorsOrder</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.ColorsOrder</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InterleaveColors --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>InterleaveColors</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Scale --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Scale</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Offset --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Offset</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DefaultAlpha --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DefaultAlpha</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DefaultRed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DefaultRed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DefaultGreen --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DefaultGreen</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DefaultBlue --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DefaultBlue</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be MLImage.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column with data to be converted to image. This estimator operates over known-sized vector of Single, Double and Byte.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Height --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Height</maml:name> <maml:description> <maml:para>The height of the output images.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Width --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>Width</maml:name> <maml:description> <maml:para>The width of the output images.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Colors --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Colors</maml:name> <maml:description> <maml:para>Specifies which ImagePixelExtractingEstimator.ColorBits are in present the input pixel vectors. The order of colors is specified in orderOfColors.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.ColorBits</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.ColorBits</maml:name> </dev:type> <dev:defaultvalue>Rgb</dev:defaultvalue> </command:parameter> <!-- Parameter: ColorsOrder --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ColorsOrder</maml:name> <maml:description> <maml:para>The order in which colors are presented in the input vector.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.ColorsOrder</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.ColorsOrder</maml:name> </dev:type> <dev:defaultvalue>ARGB</dev:defaultvalue> </command:parameter> <!-- Parameter: InterleaveColors --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>InterleaveColors</maml:name> <maml:description> <maml:para>Whether the pixels are interleaved, meaning whether they are in ColorsOrder order, or separated in the planar form: all the values for one color for all pixels, then all the values for another color and so on.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Scale --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Scale</maml:name> <maml:description> <maml:para>The values are scaled by this value before being converted to pixels. Applied to vector value before offsetImage.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: Offset --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Offset</maml:name> <maml:description> <maml:para>The offset is subtracted before converting the values to pixels. Applied to vector value after scaleImage.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: DefaultAlpha --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DefaultAlpha</maml:name> <maml:description> <maml:para>Default value for alpha color, would be overridden if colorsPresent contains Alpha.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>255</dev:defaultvalue> </command:parameter> <!-- Parameter: DefaultRed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DefaultRed</maml:name> <maml:description> <maml:para>Default value for red color, would be overridden if colorsPresent contains Red.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: DefaultGreen --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DefaultGreen</maml:name> <maml:description> <maml:para>Default value for green color, would be overridden if colorsPresent contains Green.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: DefaultBlue --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DefaultBlue</maml:name> <maml:description> <maml:para>Default value for blue color, would be overridden if colorsPresent contains Blue.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ConvertTypeTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ConvertTypeTransform</command:noun> <command:name>Add-ConvertTypeTransform</command:name> <maml:description> <maml:para>Convert the type of an input column to a new type.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert the type of an input column to a new type.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ConvertTypeTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OutputKind --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputKind</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.DataKind</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.DataKind</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. This transform operates over numeric, boolean, text, DateTime and key data types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: OutputKind --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputKind</maml:name> <maml:description> <maml:para>The expected kind of the output column.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.DataKind</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.DataKind</maml:name> </dev:type> <dev:defaultvalue>Single</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-CopyColumnsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>CopyColumnsTransform</command:noun> <command:name>Add-CopyColumnsTransform</command:name> <maml:description> <maml:para>Copy and rename one or more input columns.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Copy and rename one or more input columns.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-CopyColumnsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be the same as that of the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to copy the data from. This estimator operates over any data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-DetectAnomalyBySrCnnTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>DetectAnomalyBySrCnnTransform</command:noun> <command:name>Add-DetectAnomalyBySrCnnTransform</command:name> <maml:description> <maml:para>Detect anomalies in the input time series data using the Spectral Residual (SR) algorithm.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Detect anomalies in the input time series data using the Spectral Residual (SR) algorithm.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-DetectAnomalyBySrCnnTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: WindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>WindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: BackAddWindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>BackAddWindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LookaheadWindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LookaheadWindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AveragingWindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AveragingWindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: JudgementWindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>JudgementWindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Threshold --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Threshold</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The column data is a vector of Double. The vector contains 3 elements: alert (1 means anomaly while 0 means normal), raw score, and magnitude of spectual residual.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. The column data must be Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: WindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>WindowSize</maml:name> <maml:description> <maml:para>The size of the sliding window for computing spectral residual.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>64</dev:defaultvalue> </command:parameter> <!-- Parameter: BackAddWindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>BackAddWindowSize</maml:name> <maml:description> <maml:para>The number of points to add back of training window. No more than windowSize, usually keep default value.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>5</dev:defaultvalue> </command:parameter> <!-- Parameter: LookaheadWindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LookaheadWindowSize</maml:name> <maml:description> <maml:para>The number of pervious points used in prediction. No more than windowSize, usually keep default value.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>5</dev:defaultvalue> </command:parameter> <!-- Parameter: AveragingWindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AveragingWindowSize</maml:name> <maml:description> <maml:para>The size of sliding window to generate a saliency map for the series. No more than windowSize, usually keep default value.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>3</dev:defaultvalue> </command:parameter> <!-- Parameter: JudgementWindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>JudgementWindowSize</maml:name> <maml:description> <maml:para>The size of sliding window to calculate the anomaly score for each data point. No more than windowSize.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>21</dev:defaultvalue> </command:parameter> <!-- Parameter: Threshold --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Threshold</maml:name> <maml:description> <maml:para>The threshold to determine anomaly, score larger than the threshold is considered as anomaly. Should be in (0,1)</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,3</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-DetectChangePointBySsaTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>DetectChangePointBySsaTransform</command:noun> <command:name>Add-DetectChangePointBySsaTransform</command:name> <maml:description> <maml:para>Detect change points in time series data using singular spectrum analysis (SSA).</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Detect change points in time series data using singular spectrum analysis (SSA).</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-DetectChangePointBySsaTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Confidence --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Confidence</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ChangeHistoryLength --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>ChangeHistoryLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: TrainingWindowSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="4"> <maml:name>TrainingWindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SeasonalityWindowSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="5"> <maml:name>SeasonalityWindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ErrorFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ErrorFunction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.ErrorFunction</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.ErrorFunction</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Martingale --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Martingale</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.MartingaleType</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.MartingaleType</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Eps --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Eps</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The column data is a vector of Double. The vector contains 4 elements: alert (non-zero value means a change point), raw score, p-Value and martingale score.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. The column data must be Single. If set to null, the value of the outputColumnName will be used as source.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Confidence --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Confidence</maml:name> <maml:description> <maml:para>The confidence for change point detection in the range [0, 100].</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: ChangeHistoryLength --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>ChangeHistoryLength</maml:name> <maml:description> <maml:para>The size of the sliding window for computing the p-value.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: TrainingWindowSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="4"> <maml:name>TrainingWindowSize</maml:name> <maml:description> <maml:para>The number of points from the beginning of the sequence used for training.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: SeasonalityWindowSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="5"> <maml:name>SeasonalityWindowSize</maml:name> <maml:description> <maml:para>An upper bound on the largest relevant seasonality in the input time-series.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: ErrorFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ErrorFunction</maml:name> <maml:description> <maml:para>The function used to compute the error between the expected and the observed value.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.ErrorFunction</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.ErrorFunction</maml:name> </dev:type> <dev:defaultvalue>SignedDifference</dev:defaultvalue> </command:parameter> <!-- Parameter: Martingale --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Martingale</maml:name> <maml:description> <maml:para>The martingale used for scoring.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.MartingaleType</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.MartingaleType</maml:name> </dev:type> <dev:defaultvalue>Power</dev:defaultvalue> </command:parameter> <!-- Parameter: Eps --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Eps</maml:name> <maml:description> <maml:para>The epsilon parameter for the Power martingale.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,1</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-DetectIidChangePointTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>DetectIidChangePointTransform</command:noun> <command:name>Add-DetectIidChangePointTransform</command:name> <maml:description> <maml:para>Detect change points in independent and identically distributed (IID) time series data using adaptive kernel density estimations and martingale scores.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Detect change points in independent and identically distributed (IID) time series data using adaptive kernel density estimations and martingale scores.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-DetectIidChangePointTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Confidence --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Confidence</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ChangeHistoryLength --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>ChangeHistoryLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Martingale --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Martingale</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.MartingaleType</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.MartingaleType</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Eps --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Eps</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The column data is a vector of Double. The vector contains 4 elements: alert (non-zero value means a change point), raw score, p-Value and martingale score.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. The column data must be Single. If set to null, the value of the outputColumnName will be used as source.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Confidence --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Confidence</maml:name> <maml:description> <maml:para>The confidence for change point detection in the range [0, 100].</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: ChangeHistoryLength --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>ChangeHistoryLength</maml:name> <maml:description> <maml:para>The length of the sliding window on p-values for computing the martingale score.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Martingale --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Martingale</maml:name> <maml:description> <maml:para>The martingale used for scoring.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.MartingaleType</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.MartingaleType</maml:name> </dev:type> <dev:defaultvalue>Power</dev:defaultvalue> </command:parameter> <!-- Parameter: Eps --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Eps</maml:name> <maml:description> <maml:para>The epsilon parameter for the Power martingale.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,1</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-DetectIidSpikeTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>DetectIidSpikeTransform</command:noun> <command:name>Add-DetectIidSpikeTransform</command:name> <maml:description> <maml:para>Detect spikes in independent and identically distributed (IID) time series data using adaptive kernel density estimations and martingale scores.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Detect spikes in independent and identically distributed (IID) time series data using adaptive kernel density estimations and martingale scores.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-DetectIidSpikeTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Confidence --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Confidence</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PValueHistoryLength --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>PValueHistoryLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Side --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Side</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.AnomalySide</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.AnomalySide</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The column data is a vector of Double. The vector contains 3 elements: alert (non-zero value means a spike), raw score, and p-value.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. The column data must be Single. If set to null, the value of the outputColumnName will be used as source.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Confidence --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Confidence</maml:name> <maml:description> <maml:para>The confidence for spike detection in the range [0, 100].</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: PValueHistoryLength --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>PValueHistoryLength</maml:name> <maml:description> <maml:para>The size of the sliding window for computing the p-value.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Side --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Side</maml:name> <maml:description> <maml:para>The argument that determines whether to detect positive or negative anomalies, or both.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.AnomalySide</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.AnomalySide</maml:name> </dev:type> <dev:defaultvalue>TwoSided</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-DetectSpikeBySsaTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>DetectSpikeBySsaTransform</command:noun> <command:name>Add-DetectSpikeBySsaTransform</command:name> <maml:description> <maml:para>Detect spikes in time series data using singular spectrum analysis (SSA).</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Detect spikes in time series data using singular spectrum analysis (SSA).</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-DetectSpikeBySsaTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Confidence --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Confidence</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PValueHistoryLength --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>PValueHistoryLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: TrainingWindowSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="4"> <maml:name>TrainingWindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SeasonalityWindowSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="5"> <maml:name>SeasonalityWindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Side --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Side</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.AnomalySide</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.AnomalySide</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ErrorFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ErrorFunction</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.ErrorFunction</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.ErrorFunction</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The column data is a vector of Double. The vector contains 3 elements: alert (non-zero value means a spike), raw score, and p-value.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. The column data must be Single. If set to null, the value of the outputColumnName will be used as source.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Confidence --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Confidence</maml:name> <maml:description> <maml:para>The confidence for spike detection in the range [0, 100].</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: PValueHistoryLength --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>PValueHistoryLength</maml:name> <maml:description> <maml:para>The size of the sliding window for computing the p-value.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: TrainingWindowSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="4"> <maml:name>TrainingWindowSize</maml:name> <maml:description> <maml:para>The number of points from the beginning of the sequence used for training.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: SeasonalityWindowSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="5"> <maml:name>SeasonalityWindowSize</maml:name> <maml:description> <maml:para>An upper bound on the largest relevant seasonality in the input time-series.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Side --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Side</maml:name> <maml:description> <maml:para>The argument that determines whether to detect positive or negative anomalies, or both.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.AnomalySide</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.AnomalySide</maml:name> </dev:type> <dev:defaultvalue>TwoSided</dev:defaultvalue> </command:parameter> <!-- Parameter: ErrorFunction --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ErrorFunction</maml:name> <maml:description> <maml:para>The function used to compute the error between the expected and the observed value.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.ErrorFunction</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.ErrorFunction</maml:name> </dev:type> <dev:defaultvalue>SignedDifference</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-DnnFeaturizeImageTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>DnnFeaturizeImageTransform</command:noun> <command:name>Add-DnnFeaturizeImageTransform</command:name> <maml:description> <maml:para>Applies a pre-trained deep neural network (DNN) model to transform an input image into a feature vector.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Applies a pre-trained deep neural network (DNN) model to transform an input image into a feature vector.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-DnnFeaturizeImageTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ModelFactory --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>ModelFactory</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Func<Microsoft.ML.Transforms.Onnx.DnnImageFeaturizerInput, Microsoft.ML.Data.EstimatorChain<Microsoft.ML.Transforms.ColumnCopyingTransformer>></command:parameterValue> <dev:type> <maml:name>System.Func<Microsoft.ML.Transforms.Onnx.DnnImageFeaturizerInput, Microsoft.ML.Data.EstimatorChain<Microsoft.ML.Transforms.ColumnCopyingTransformer>></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>The name of the column resulting from the transformation of inputColumnName.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. If set to null, the value of the outputColumnName will be used as source.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ModelFactory --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>ModelFactory</maml:name> <maml:description> <maml:para>An extension method on the DnnImageModelSelector that creates a chain of two OnnxScoringEstimator (one for preprocessing and one with a pretrained image DNN) with specific models included in a package together with that extension method.</maml:para> </maml:description> <command:parameterValue required="true">System.Func<Microsoft.ML.Transforms.Onnx.DnnImageFeaturizerInput, Microsoft.ML.Data.EstimatorChain<Microsoft.ML.Transforms.ColumnCopyingTransformer>></command:parameterValue> <dev:type> <maml:name>System.Func<Microsoft.ML.Transforms.Onnx.DnnImageFeaturizerInput, Microsoft.ML.Data.EstimatorChain<Microsoft.ML.Transforms.ColumnCopyingTransformer>></maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-DropColumnsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>DropColumnsTransform</command:noun> <command:name>Add-DropColumnsTransform</command:name> <maml:description> <maml:para>Drop one or more input columns.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Drop one or more input columns.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-DropColumnsTransform</maml:name> <!-- Parameter: Columns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Columns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Columns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Columns</maml:name> <maml:description> <maml:para>The array of column names to drop. This estimator operates over columns of any data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ExpressionTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ExpressionTransform</command:noun> <command:name>Add-ExpressionTransform</command:name> <maml:description> <maml:para>Apply an expression to transform columns into new ones.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Apply an expression to transform columns into new ones.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ExpressionTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Expression --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Expression</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnNames. This column's data type will be the same as that of the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumns</maml:name> <maml:description> <maml:para>The names of the input columns.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Expression --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Expression</maml:name> <maml:description> <maml:para>The expression to apply to inputColumnNames to create the column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ExtractPixelsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ExtractPixelsTransform</command:noun> <command:name>Add-ExtractPixelsTransform</command:name> <maml:description> <maml:para>Convert pixels from input image into a vector of numbers.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert pixels from input image into a vector of numbers.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ExtractPixelsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Colors --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Colors</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.ColorBits</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.ColorBits</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ColorsOrder --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ColorsOrder</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.ColorsOrder</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.ColorsOrder</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InterleaveColors --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>InterleaveColors</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Scale --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Scale</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Offset --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Offset</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AsByteArray --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AsByteArray</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be a known-sized vector of Single or Byte depending on outputAsFloatArray.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column with images. This estimator operates over MLImage.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Colors --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Colors</maml:name> <maml:description> <maml:para>The colors to extract from the image.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.ColorBits</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.ColorBits</maml:name> </dev:type> <dev:defaultvalue>Rgb</dev:defaultvalue> </command:parameter> <!-- Parameter: ColorsOrder --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ColorsOrder</maml:name> <maml:description> <maml:para>The order in which to extract colors from pixel.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.ColorsOrder</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.ColorsOrder</maml:name> </dev:type> <dev:defaultvalue>ARGB</dev:defaultvalue> </command:parameter> <!-- Parameter: InterleaveColors --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>InterleaveColors</maml:name> <maml:description> <maml:para>Whether the pixels are interleaved, meaning whether they are in ColorsOrder order, or separated in the planar form: all the values for one color for all pixels, then all the values for another color and so on.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Scale --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Scale</maml:name> <maml:description> <maml:para>Scale each pixel's color value by this amount. Applied to color value after offsetImage.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: Offset --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Offset</maml:name> <maml:description> <maml:para>Offset each pixel's color value by this amount. Applied to color value before scaleImage.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: AsByteArray --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AsByteArray</maml:name> <maml:description> <maml:para>Output array as byte array. Output as byte array ignores offsetImage and scaleImage.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-FeaturizeTextTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>FeaturizeTextTransform</command:noun> <command:name>Add-FeaturizeTextTransform</command:name> <maml:description> <maml:para>Transform a text column into a float array of normalized ngrams and char-grams counts.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transform a text column into a float array of normalized ngrams and char-grams counts.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-FeaturizeTextTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be a vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. This estimator operates over text data.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-HashTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>HashTransform</command:noun> <command:name>Add-HashTransform</command:name> <maml:description> <maml:para>Hash the value in the input column.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Hash the value in the input column.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-HashTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Bits --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bits</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxInverts --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxInverts</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be a vector of keys, or a scalar of key based on whether the input column data types are vectors or scalars.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column whose data will be hashed. If set to null, the value of the outputColumnName will be used as source. This estimator operates over vectors or scalars of text, numeric, boolean, key or DataViewRowId data types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Bits --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bits</maml:name> <maml:description> <maml:para>Number of bits to hash into. Must be between 1 and 31, inclusive.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>31</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxInverts --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxInverts</maml:name> <maml:description> <maml:para>During hashing we construct mappings between original values and the produced hash values. Text representation of original values are stored in the slot names of the annotations for the new column.Hashing, as such, can map many initial values to one. maximumNumberOfInvertsSpecifies the upper bound of the number of distinct input values mapping to a hash that should be retained. 0 does not retain any input values. -1 retains all input values mapping to each hash.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-IndicateMissingValuesTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>IndicateMissingValuesTransform</command:noun> <command:name>Add-IndicateMissingValuesTransform</command:name> <maml:description> <maml:para>Create a new boolean output column, the value of which is true when the value in the input column is missing.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Create a new boolean output column, the value of which is true when the value in the input column is missing.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-IndicateMissingValuesTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be a vector of Boolean.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to copy the data from. This estimator operates over scalar or vector of Single or Double.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-IsotonicTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>IsotonicTransform</command:noun> <command:name>Add-IsotonicTransform</command:name> <maml:description> <maml:para>Transforms a binary classifier raw score into a class probability by assigning scores to bins, where the position of boundaries and the size of bins are estimated using the training data.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transforms a binary classifier raw score into a class probability by assigning scores to bins, where the position of boundaries and the size of bins are estimated using the training data.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-IsotonicTransform</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ScoreColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ScoreColumn</maml:name> <maml:description> <maml:para>The name of the score column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Score</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LatentDirichletAllocationTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LatentDirichletAllocationTransform</command:noun> <command:name>Add-LatentDirichletAllocationTransform</command:name> <maml:description> <maml:para>Transform a document (represented as a vector of floats) into a vector of floats over a set of topics.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transform a document (represented as a vector of floats) into a vector of floats over a set of topics.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LatentDirichletAllocationTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Topics --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Topics</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AlphaSum --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AlphaSum</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Beta --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Beta</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SamplingSteps --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SamplingSteps</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LikelihoodInterval --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LikelihoodInterval</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Threads --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Threads</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxTokensPerDocument --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxTokensPerDocument</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SummaryTermsPerTopic --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SummaryTermsPerTopic</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: BurninIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>BurninIterations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ResetRandomGenerator --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ResetRandomGenerator</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This estimator outputs a vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. This estimator operates over a vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Topics --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Topics</maml:name> <maml:description> <maml:para>The number of topics.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: AlphaSum --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AlphaSum</maml:name> <maml:description> <maml:para>Dirichlet prior on document-topic vectors.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>100</dev:defaultvalue> </command:parameter> <!-- Parameter: Beta --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Beta</maml:name> <maml:description> <maml:para>Dirichlet prior on vocab-topic vectors.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>0,01</dev:defaultvalue> </command:parameter> <!-- Parameter: SamplingSteps --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SamplingSteps</maml:name> <maml:description> <maml:para>Number of Metropolis Hasting step.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>4</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxIterations</maml:name> <maml:description> <maml:para>Number of iterations.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>200</dev:defaultvalue> </command:parameter> <!-- Parameter: LikelihoodInterval --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>LikelihoodInterval</maml:name> <maml:description> <maml:para>Compute log likelihood over local dataset on this iteration interval.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>5</dev:defaultvalue> </command:parameter> <!-- Parameter: Threads --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Threads</maml:name> <maml:description> <maml:para>The number of training threads. Default value depends on number of logical processors.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxTokensPerDocument --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxTokensPerDocument</maml:name> <maml:description> <maml:para>The threshold of maximum count of tokens per doc.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>512</dev:defaultvalue> </command:parameter> <!-- Parameter: SummaryTermsPerTopic --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SummaryTermsPerTopic</maml:name> <maml:description> <maml:para>The number of words to summarize the topic.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: BurninIterations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>BurninIterations</maml:name> <maml:description> <maml:para>The number of burn-in iterations.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: ResetRandomGenerator --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ResetRandomGenerator</maml:name> <maml:description> <maml:para>Reset the random number generator for each document.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LoadImagesTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LoadImagesTransform</command:noun> <command:name>Add-LoadImagesTransform</command:name> <maml:description> <maml:para>Load images from a folder into memory.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Load images from a folder into memory.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LoadImagesTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be MLImage.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column with paths to the images to load. This estimator operates over text data.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Path</maml:name> <maml:description> <maml:para>Folder where to look for images.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-LoadRawImageBytesTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>LoadRawImageBytesTransform</command:noun> <command:name>Add-LoadRawImageBytesTransform</command:name> <maml:description> <maml:para>Loads images of raw bytes into a new column.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Loads images of raw bytes into a new column.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-LoadRawImageBytesTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be VectorDataViewType.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column with paths to the images to load. This estimator operates over text data.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Path</maml:name> <maml:description> <maml:para>Folder where to look for images.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-MapKeyToBinaryVectorTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>MapKeyToBinaryVectorTransform</command:noun> <command:name>Add-MapKeyToBinaryVectorTransform</command:name> <maml:description> <maml:para>Convert keys back to a binary vector of original values.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert keys back to a binary vector of original values.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-MapKeyToBinaryVectorTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The data type is a known-size vector of Single representing the input value.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. If set to null, the value of the outputColumnName will be used as source. The data type is a key or a known-size vector of keys.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-MapKeyToValueTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>MapKeyToValueTransform</command:noun> <command:name>Add-MapKeyToValueTransform</command:name> <maml:description> <maml:para>Convert keys back to their original values.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert keys back to their original values.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-MapKeyToValueTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. Its type will be the original value's type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. This transform operates over keys.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-MapKeyToVectorTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>MapKeyToVectorTransform</command:noun> <command:name>Add-MapKeyToVectorTransform</command:name> <maml:description> <maml:para>Convert keys back to vectors of original values.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert keys back to vectors of original values.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-MapKeyToVectorTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OutputCountVector --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputCountVector</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The data type is a vector of Single representing the input value.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. This transform operates over keys.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: OutputCountVector --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputCountVector</maml:name> <maml:description> <maml:para>Whether to combine multiple indicator vectors into a single vector of counts instead of concatenating them. This is only relevant when the input column is a vector of keys.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-MapValueToKeyTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>MapValueToKeyTransform</command:noun> <command:name>Add-MapValueToKeyTransform</command:name> <maml:description> <maml:para>Map values to keys (categories) by creating the mapping from the input data.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Map values to keys (categories) by creating the mapping from the input data.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-MapValueToKeyTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxKeys --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxKeys</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: KeyOrdinality --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeyOrdinality</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.KeyOrdinality</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.KeyOrdinality</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: KeyData --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeyData</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AddKeyValueAnnotationsAsText --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AddKeyValueAnnotationsAsText</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column containing the keys.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column containing the categorical values. If set to null, the value of the outputColumnName is used. The input data types can be numeric, text, boolean, DateTime or DateTimeOffset.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxKeys --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxKeys</maml:name> <maml:description> <maml:para>Maximum number of keys to keep per column when training.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1000000</dev:defaultvalue> </command:parameter> <!-- Parameter: KeyOrdinality --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeyOrdinality</maml:name> <maml:description> <maml:para>The order in which keys are assigned. If set to ByOccurrence, keys are assigned in the order encountered. If set to ByValue, values are sorted, and keys are assigned based on the sort order.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.KeyOrdinality</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.KeyOrdinality</maml:name> </dev:type> <dev:defaultvalue>ByOccurrence</dev:defaultvalue> </command:parameter> <!-- Parameter: KeyData --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeyData</maml:name> <maml:description> <maml:para>Use a pre-defined mapping between values and keys, instead of building the mapping from the input data during training. If specified, this should be a single column IDataView containing the values. The keys are allocated based on the value of keyOrdinality.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AddKeyValueAnnotationsAsText --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AddKeyValueAnnotationsAsText</maml:name> <maml:description> <maml:para>If set to true, use text type for values, regardless of the actual input type. When doing the reverse mapping, the values are text rather than the original input type.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-MapValueTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>MapValueTransform</command:noun> <command:name>Add-MapValueTransform</command:name> <maml:description> <maml:para>Map values to keys (categories) based on the supplied dictionary of mappings.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Map values to keys (categories) based on the supplied dictionary of mappings.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-MapValueTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LookupMap --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>LookupMap</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: KeyColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>KeyColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Column</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Column</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ValueColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>ValueColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Column</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Column</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The data types can be primitives or vectors of numeric, text, boolean, DateTime, DateTimeOffset or DataViewRowId types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. The data types can be primitives or vectors of numeric, text, boolean, DateTime, DateTimeOffset or DataViewRowId types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LookupMap --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>LookupMap</maml:name> <maml:description> <maml:para>An instance of IDataView that contains the keyColumn and valueColumn columns.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: KeyColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>KeyColumn</maml:name> <maml:description> <maml:para>The key column in lookupMap.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Column</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Column</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: ValueColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>ValueColumn</maml:name> <maml:description> <maml:para>The value column in lookupMap.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Column</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Column</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NaiveTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NaiveTransform</command:noun> <command:name>Add-NaiveTransform</command:name> <maml:description> <maml:para>Transforms a binary classifier raw score into a class probability by assigning scores to bins, and calculating the probability based on the distribution among the bins.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transforms a binary classifier raw score into a class probability by assigning scores to bins, and calculating the probability based on the distribution among the bins.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NaiveTransform</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ScoreColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ScoreColumn</maml:name> <maml:description> <maml:para>The name of the score column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Score</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NormalizeBinningTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NormalizeBinningTransform</command:noun> <command:name>Add-NormalizeBinningTransform</command:name> <maml:description> <maml:para>Assign the input value to a bin index and divide by the number of bins to produce a float value between 0 and 1. The bin boundaries are calculated to evenly distribute the training data across bins.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Assign the input value to a bin index and divide by the number of bins to produce a float value between 0 and 1. The bin boundaries are calculated to evenly distribute the training data across bins.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NormalizeBinningTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxBins --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxBins</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontFixZero --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontFixZero</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The data type on this column is the same as the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. The data type on this column should be Single, Double or a known-sized vector of those types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> <maml:para>Maximum number of examples used to train the normalizer.</maml:para> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> </dev:type> <dev:defaultvalue>1000000000</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxBins --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxBins</maml:name> <maml:description> <maml:para>Maximum number of bins (power of 2 recommended).</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1024</dev:defaultvalue> </command:parameter> <!-- Parameter: DontFixZero --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontFixZero</maml:name> <maml:description> <maml:para>Whether to map zero to zero, preserving sparsity.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NormalizeGlobalContrastTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NormalizeGlobalContrastTransform</command:noun> <command:name>Add-NormalizeGlobalContrastTransform</command:name> <maml:description> <maml:para>Scale each value in a row by subtracting the mean of the row data and divide by either the standard deviation or l2-norm (of the row data), and multiply by a configurable scale factor (default 2).</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Scale each value in a row by subtracting the mean of the row data and divide by either the standard deviation or l2-norm (of the row data), and multiply by a configurable scale factor (default 2).</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NormalizeGlobalContrastTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Scale --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Scale</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontEnsureZeroMean --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontEnsureZeroMean</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: EnsureUnitStandardDeviation --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>EnsureUnitStandardDeviation</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be the same as the input column's data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to normalize. If set to null, the value of the outputColumnName will be used as source. This estimator operates over known-sized vectors of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Scale --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Scale</maml:name> <maml:description> <maml:para>Scale features by this value.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: DontEnsureZeroMean --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontEnsureZeroMean</maml:name> <maml:description> <maml:para>Subtract mean from each value before normalizing and use the raw input otherwise.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: EnsureUnitStandardDeviation --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>EnsureUnitStandardDeviation</maml:name> <maml:description> <maml:para>If true, the resulting vector's standard deviation would be one. Otherwise, the resulting vector's L2-norm would be one.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NormalizeLogMeanVarianceTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NormalizeLogMeanVarianceTransform</command:noun> <command:name>Add-NormalizeLogMeanVarianceTransform</command:name> <maml:description> <maml:para>Normalize based on the logarithm of the training data.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Normalize based on the logarithm of the training data.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NormalizeLogMeanVarianceTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontFixZero --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontFixZero</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseCdf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseCdf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The data type on this column is the same as the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. The data type on this column should be Single, Double or a known-sized vector of those types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> <maml:para>Maximum number of examples used to train the normalizer.</maml:para> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> </dev:type> <dev:defaultvalue>1000000000</dev:defaultvalue> </command:parameter> <!-- Parameter: DontFixZero --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontFixZero</maml:name> <maml:description> <maml:para>Whether to map zero to zero, preserving sparsity.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: DontUseCdf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseCdf</maml:name> <maml:description> <maml:para>Whether to use CDF as the output.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NormalizeLpNormTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NormalizeLpNormTransform</command:noun> <command:name>Add-NormalizeLpNormTransform</command:name> <maml:description> <maml:para>Scale input vectors by their lp-norm, where p is 1, 2 or infinity. Defaults to the l2 (Euclidean distance) norm.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Scale input vectors by their lp-norm, where p is 1, 2 or infinity. Defaults to the l2 (Euclidean distance) norm.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NormalizeLpNormTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Norm --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Norm</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.NormFunction</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.NormFunction</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: EnsureZeroMean --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>EnsureZeroMean</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be the same as the input column's data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to normalize. If set to null, the value of the outputColumnName will be used as source. This estimator operates over known-sized vectors of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Norm --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Norm</maml:name> <maml:description> <maml:para>Type of norm to use to normalize each sample. The indicated norm of the resulting vector will be normalized to one.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.NormFunction</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.NormFunction</maml:name> </dev:type> <dev:defaultvalue>L2</dev:defaultvalue> </command:parameter> <!-- Parameter: EnsureZeroMean --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>EnsureZeroMean</maml:name> <maml:description> <maml:para>If true, subtract mean from each value before normalizing and use the raw input otherwise.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NormalizeMeanVarianceTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NormalizeMeanVarianceTransform</command:noun> <command:name>Add-NormalizeMeanVarianceTransform</command:name> <maml:description> <maml:para>Subtract the mean (of the training data) and divide by the variance (of the training data).</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Subtract the mean (of the training data) and divide by the variance (of the training data).</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NormalizeMeanVarianceTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontFixZero --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontFixZero</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: UseCdf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>UseCdf</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The data type on this column is the same as the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. The data type on this column should be Single, Double or a known-sized vector of those types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> <maml:para>Maximum number of examples used to train the normalizer.</maml:para> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> </dev:type> <dev:defaultvalue>1000000000</dev:defaultvalue> </command:parameter> <!-- Parameter: DontFixZero --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontFixZero</maml:name> <maml:description> <maml:para>Whether to map zero to zero, preserving sparsity.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: UseCdf --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>UseCdf</maml:name> <maml:description> <maml:para>Whether to use CDF as the output.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NormalizeMinMaxTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NormalizeMinMaxTransform</command:noun> <command:name>Add-NormalizeMinMaxTransform</command:name> <maml:description> <maml:para>Scale the input by the difference between the minimum and maximum values in the training data.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Scale the input by the difference between the minimum and maximum values in the training data.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NormalizeMinMaxTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontFixZero --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontFixZero</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The data type on this column is the same as the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. The data type on this column should be Single, Double or a known-sized vector of those types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> <maml:para>Maximum number of examples used to train the normalizer.</maml:para> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> </dev:type> <dev:defaultvalue>1000000000</dev:defaultvalue> </command:parameter> <!-- Parameter: DontFixZero --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontFixZero</maml:name> <maml:description> <maml:para>Whether to map zero to zero, preserving sparsity.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NormalizeRobustScalingTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NormalizeRobustScalingTransform</command:noun> <command:name>Add-NormalizeRobustScalingTransform</command:name> <maml:description> <maml:para>Scale each value using statistics that are robust to outliers that will center the data around 0 and scales the data according to the quantile range.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Scale each value using statistics that are robust to outliers that will center the data around 0 and scales the data according to the quantile range.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NormalizeRobustScalingTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: QuantileMin --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>QuantileMin</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: QuantileMax --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>QuantileMax</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontCenterData --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontCenterData</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The data type on this column is the same as the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. The data type on this column should be Single, Double or a known-sized vector of those types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> <maml:para>Maximum number of examples used to train the normalizer.</maml:para> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> </dev:type> <dev:defaultvalue>1000000000</dev:defaultvalue> </command:parameter> <!-- Parameter: QuantileMin --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>QuantileMin</maml:name> <maml:description> <maml:para>Quantile min used to scale the data.</maml:para> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> </dev:type> <dev:defaultvalue>25</dev:defaultvalue> </command:parameter> <!-- Parameter: QuantileMax --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>QuantileMax</maml:name> <maml:description> <maml:para>Quantile max used to scale the data.</maml:para> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> </dev:type> <dev:defaultvalue>75</dev:defaultvalue> </command:parameter> <!-- Parameter: DontCenterData --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontCenterData</maml:name> <maml:description> <maml:para>Whether to center the data around 0 by removing the median.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NormalizeSupervisedBinningTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NormalizeSupervisedBinningTransform</command:noun> <command:name>Add-NormalizeSupervisedBinningTransform</command:name> <maml:description> <maml:para>Assign the input value to a bin based on its correlation with label column.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Assign the input value to a bin based on its correlation with label column.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NormalizeSupervisedBinningTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxBins --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxBins</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MinExamplesPerBin --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExamplesPerBin</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontFixZero --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontFixZero</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. The data type on this column is the same as the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. The data type on this column should be Single, Double or a known-sized vector of those types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>Name of the label column for supervised binning.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxExamples --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxExamples</maml:name> <maml:description> <maml:para>Maximum number of examples used to train the normalizer.</maml:para> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> </dev:type> <dev:defaultvalue>1000000000</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxBins --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxBins</maml:name> <maml:description> <maml:para>Maximum number of bins (power of 2 recommended).</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1024</dev:defaultvalue> </command:parameter> <!-- Parameter: MinExamplesPerBin --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MinExamplesPerBin</maml:name> <maml:description> <maml:para>Minimum number of examples per bin.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10</dev:defaultvalue> </command:parameter> <!-- Parameter: DontFixZero --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontFixZero</maml:name> <maml:description> <maml:para>Whether to map zero to zero, preserving sparsity.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-NormalizeTextTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>NormalizeTextTransform</command:noun> <command:name>Add-NormalizeTextTransform</command:name> <maml:description> <maml:para>Change case, remove diacritical marks, punctuation marks, and numbers.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Change case, remove diacritical marks, punctuation marks, and numbers.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-NormalizeTextTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: CaseMode --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>CaseMode</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.CaseMode</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.CaseMode</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: KeepDiacritics --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeepDiacritics</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: RemovePunctuations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RemovePunctuations</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: RemoveNumbers --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RemoveNumbers</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type is a scalar or a vector of text depending on the input column data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. This estimator operates on text or vector of text data types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: CaseMode --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>CaseMode</maml:name> <maml:description> <maml:para>Casing text using the rules of the invariant culture.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.CaseMode</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.CaseMode</maml:name> </dev:type> <dev:defaultvalue>Lower</dev:defaultvalue> </command:parameter> <!-- Parameter: KeepDiacritics --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeepDiacritics</maml:name> <maml:description> <maml:para>Whether to keep diacritical marks or remove them.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: RemovePunctuations --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RemovePunctuations</maml:name> <maml:description> <maml:para>Whether to keep punctuation marks or remove them.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: RemoveNumbers --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RemoveNumbers</maml:name> <maml:description> <maml:para>Whether to keep numbers or remove them.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-OneHotEncodingTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>OneHotEncodingTransform</command:noun> <command:name>Add-OneHotEncodingTransform</command:name> <maml:description> <maml:para>Convert one or more text columns into one-hot encoded vectors.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert one or more text columns into one-hot encoded vectors.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-OneHotEncodingTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OutputKind --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputKind</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.OutputKind</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.OutputKind</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxKeys --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxKeys</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: KeyOrdinality --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeyOrdinality</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.KeyOrdinality</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.KeyOrdinality</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: KeyData --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeyData</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be a vector of Single if outputKind is Bag, Indicator, and Binary. If outputKind is Key, this column's data type will be a key in the case of a scalar input column or a vector of keys in the case of a vector input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to convert to one-hot vectors. If set to null, the value of the outputColumnName will be used as source. This column's data type can be scalar or vector of numeric, text, boolean, DateTime or DateTimeOffset,</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: OutputKind --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputKind</maml:name> <maml:description> <maml:para>Output kind: Bag (multi-set vector), Ind (indicator vector), Key (index), or Binary encoded indicator vector.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.OutputKind</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.OutputKind</maml:name> </dev:type> <dev:defaultvalue>Indicator</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxKeys --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxKeys</maml:name> <maml:description> <maml:para>Maximum number of terms to keep per column when auto-training.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1000000</dev:defaultvalue> </command:parameter> <!-- Parameter: KeyOrdinality --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeyOrdinality</maml:name> <maml:description> <maml:para>How items should be ordered when vectorized. If ByOccurrence choosen they will be in the order encountered. If ByValue, items are sorted according to their default comparison, for example, text sorting will be case sensitive (for example, 'A' then 'Z' then 'a').</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.KeyOrdinality</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.KeyOrdinality</maml:name> </dev:type> <dev:defaultvalue>ByOccurrence</dev:defaultvalue> </command:parameter> <!-- Parameter: KeyData --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeyData</maml:name> <maml:description> <maml:para>Specifies an ordering for the encoding. If specified, this should be a single column data view, and the key-values will be taken from that column. If unspecified, the ordering will be determined from the input data upon fitting.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-OneHotHashEncodingTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>OneHotHashEncodingTransform</command:noun> <command:name>Add-OneHotHashEncodingTransform</command:name> <maml:description> <maml:para>Convert one or more text columns into hash-based one-hot encoded vectors.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert one or more text columns into hash-based one-hot encoded vectors.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-OneHotHashEncodingTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OutputKind --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputKind</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.OutputKind</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.OutputKind</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Bits --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bits</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxInverts --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxInverts</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseOrderedHashing --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseOrderedHashing</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be a vector of Single if outputKind is Bag, Indicator, and Binary. If outputKind is Key, this column's data type will be a key in the case of a scalar input column or a vector of keys in the case of a vector input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. If set to null, the value of the outputColumnName will be used as source. This column's data type can be scalar or vector of numeric, text, boolean, DateTime or DateTimeOffset.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: OutputKind --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputKind</maml:name> <maml:description> <maml:para>The conversion mode.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.OutputKind</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.OutputKind</maml:name> </dev:type> <dev:defaultvalue>Indicator</dev:defaultvalue> </command:parameter> <!-- Parameter: Bits --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bits</maml:name> <maml:description> <maml:para>Number of bits to hash into. Must be between 1 and 30, inclusive.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>16</dev:defaultvalue> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> <maml:para>Hashing seed.</maml:para> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> </dev:type> <dev:defaultvalue>314489979</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxInverts --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxInverts</maml:name> <maml:description> <maml:para>During hashing we constuct mappings between original values and the produced hash values. Text representation of original values are stored in the slot names of the metadata for the new column.Hashing, as such, can map many initial values to one. maximumNumberOfInverts specifies the upper bound of the number of distinct input values mapping to a hash that should be retained. 0 does not retain any input values. -1 retains all input values mapping to each hash.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: DontUseOrderedHashing --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseOrderedHashing</maml:name> <maml:description> <maml:para>Whether the position of each term should be included in the hash.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-PlattTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>PlattTransform</command:noun> <command:name>Add-PlattTransform</command:name> <maml:description> <maml:para>Transforms a binary classifier raw score into a class probability using logistic regression with fixed parameters or parameters estimated using the training data.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transforms a binary classifier raw score into a class probability using logistic regression with fixed parameters or parameters estimated using the training data.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: Columns --> <command:syntaxItem> <maml:name>Add-PlattTransform</maml:name> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ScoreColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: Slope --> <command:syntaxItem> <maml:name>Add-PlattTransform</maml:name> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ScoreColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Slope --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Slope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Offset --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Offset</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="0"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: ScoreColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>ScoreColumn</maml:name> <maml:description> <maml:para>The name of the score column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Score</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Slope --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Slope</maml:name> <maml:description> <maml:para>The slope in the function of the exponent of the sigmoid.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Offset --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Offset</maml:name> <maml:description> <maml:para>The offset in the function of the exponent of the sigmoid.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ProduceHashedNgramsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ProduceHashedNgramsTransform</command:noun> <command:name>Add-ProduceHashedNgramsTransform</command:name> <maml:description> <maml:para>Transform text column into a vector of hashed ngram counts.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transform text column into a vector of hashed ngram counts.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: Single --> <command:syntaxItem> <maml:name>Add-ProduceHashedNgramsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Bits --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bits</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxInverts --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxInverts</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseOrderedHashing --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseOrderedHashing</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: RehashUnigrams --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RehashUnigrams</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: Multiple --> <command:syntaxItem> <maml:name>Add-ProduceHashedNgramsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>InputColumns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Bits --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bits</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxInverts --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxInverts</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseOrderedHashing --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseOrderedHashing</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: RehashUnigrams --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RehashUnigrams</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>InputColumns</maml:name> <maml:description> <maml:para>Name of the multiple columns to take the data from. This estimator operates over vector of key type.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Bits --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bits</maml:name> <maml:description> <maml:para>Number of bits to hash into. Must be between 1 and 30, inclusive.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>16</dev:defaultvalue> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> <maml:para>Ngram length.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>2</dev:defaultvalue> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> <maml:para>Maximum number of tokens to skip when constructing an n-gram.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> <maml:para>Hashing seed.</maml:para> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> </dev:type> <dev:defaultvalue>314489979</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxInverts --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxInverts</maml:name> <maml:description> <maml:para>During hashing we construct mappings between original values and the produced hash values. Text representation of original values are stored in the slot names of the annotations for the new column.Hashing, as such, can map many initial values to one. maximumNumberOfInverts specifies the upper bound of the number of distinct input values mapping to a hash that should be retained. 0 does not retain any input values. -1 retains all input values mapping to each hash.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> <maml:para>Whether to include all n-gram lengths up to ngramLength or only ngramLength.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: DontUseOrderedHashing --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseOrderedHashing</maml:name> <maml:description> <maml:para>Whether the position of each source column should be included in the hash (when there are multiple source columns).</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: RehashUnigrams --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RehashUnigrams</maml:name> <maml:description> <maml:para>Whether to rehash unigrams.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ProduceHashedWordBagsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ProduceHashedWordBagsTransform</command:noun> <command:name>Add-ProduceHashedWordBagsTransform</command:name> <maml:description> <maml:para>Transform text column into a bag of hashed ngram counts.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transform text column into a bag of hashed ngram counts.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: Single --> <command:syntaxItem> <maml:name>Add-ProduceHashedWordBagsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Bits --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bits</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxInverts --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxInverts</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseOrderedHashing --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseOrderedHashing</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: Multiple --> <command:syntaxItem> <maml:name>Add-ProduceHashedWordBagsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>InputColumns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Bits --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bits</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxInverts --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxInverts</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseOrderedHashing --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseOrderedHashing</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnNames. This column's data type will be known-size vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to take the data from. This estimator operates over vector of text.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>InputColumns</maml:name> <maml:description> <maml:para>Names of the multiple columns to take the data from. This estimator operates over vector of text.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Bits --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bits</maml:name> <maml:description> <maml:para>Number of bits to hash into. Must be between 1 and 30, inclusive.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>16</dev:defaultvalue> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> <maml:para>Ngram length.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> <maml:para>Maximum number of tokens to skip when constructing an n-gram.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> <maml:para>Hashing seed.</maml:para> </maml:description> <command:parameterValue required="true">System.UInt32</command:parameterValue> <dev:type> <maml:name>System.UInt32</maml:name> </dev:type> <dev:defaultvalue>314489979</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxInverts --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxInverts</maml:name> <maml:description> <maml:para>During hashing we construct mappings between original values and the produced hash values. Text representation of original values are stored in the slot names of the annotations for the new column. Hashing, as such, can map many initial values to one. maximumNumberOfInverts specifies the upper bound of the number of distinct input values mapping to a hash that should be retained. 0 does not retain any input values. -1 retains all input values mapping to each hash.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> <maml:para>Whether to include all n-gram lengths up to ngramLength or only ngramLength.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: DontUseOrderedHashing --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseOrderedHashing</maml:name> <maml:description> <maml:para>Whether the position of each source column should be included in the hash (when there are multiple source columns).</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ProduceNgramsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ProduceNgramsTransform</command:noun> <command:name>Add-ProduceNgramsTransform</command:name> <maml:description> <maml:para>Transform text column into a bag of counts of ngrams (sequences of consecutive words).</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transform text column into a bag of counts of ngrams (sequences of consecutive words).</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ProduceNgramsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxNgrams --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxNgrams</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Weighting --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Weighting</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.WeightingCriteria</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.WeightingCriteria</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be a vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. This estimator operates over vectors of keys data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> <maml:para>Ngram length.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>2</dev:defaultvalue> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> <maml:para>Number of tokens to skip between each n-gram. By default no token is skipped.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxNgrams --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxNgrams</maml:name> <maml:description> <maml:para>Maximum number of n-grams to store in the dictionary.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10000000</dev:defaultvalue> </command:parameter> <!-- Parameter: Weighting --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Weighting</maml:name> <maml:description> <maml:para>Statistical measure used to evaluate how important a word or n-gram is to a document in a corpus. When maximumNgramsCount is smaller than the total number of encountered n-grams this measure is used to determine which n-grams to keep.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.WeightingCriteria</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.WeightingCriteria</maml:name> </dev:type> <dev:defaultvalue>Tf</dev:defaultvalue> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> <maml:para>Whether to include all n-gram lengths up to ngramLength or only ngramLength.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ProduceWordBagsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ProduceWordBagsTransform</command:noun> <command:name>Add-ProduceWordBagsTransform</command:name> <maml:description> <maml:para>Transform text column into a bag of counts of ngrams vector.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transform text column into a bag of counts of ngrams vector.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: Single --> <command:syntaxItem> <maml:name>Add-ProduceWordBagsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxNgrams --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxNgrams</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Weighting --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Weighting</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.WeightingCriteria</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.WeightingCriteria</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: Multiple --> <command:syntaxItem> <maml:name>Add-ProduceWordBagsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>InputColumns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxNgrams --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxNgrams</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Weighting --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Weighting</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.WeightingCriteria</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.WeightingCriteria</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnNames. This column's data type will be known-size vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to take the data from. This estimator operates over vector of text.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>InputColumns</maml:name> <maml:description> <maml:para>Names of the multiple columns to take the data from. This estimator operates over vector of text.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: NgramLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NgramLength</maml:name> <maml:description> <maml:para>Ngram length.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>2</dev:defaultvalue> </command:parameter> <!-- Parameter: SkipLength --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLength</maml:name> <maml:description> <maml:para>Maximum number of tokens to skip when constructing an n-gram.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxNgrams --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxNgrams</maml:name> <maml:description> <maml:para>Maximum number of n-grams to store in the dictionary.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>10000000</dev:defaultvalue> </command:parameter> <!-- Parameter: Weighting --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Weighting</maml:name> <maml:description> <maml:para>Statistical measure used to evaluate how important a word is to a document in a corpus.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.WeightingCriteria</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.WeightingCriteria</maml:name> </dev:type> <dev:defaultvalue>Tf</dev:defaultvalue> </command:parameter> <!-- Parameter: DontUseAllLengths --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseAllLengths</maml:name> <maml:description> <maml:para>Whether to include all n-gram lengths up to ngramLength or only ngramLength.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ProjectToPrincipalComponentsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ProjectToPrincipalComponentsTransform</command:noun> <command:name>Add-ProjectToPrincipalComponentsTransform</command:name> <maml:description> <maml:para>Reduce the dimensions of the input feature vector by applying the Principal Component Analysis algorithm.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Reduce the dimensions of the input feature vector by applying the Principal Component Analysis algorithm.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ProjectToPrincipalComponentsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Rank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Rank</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OverSampling --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OverSampling</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontEnsureZeroMean --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontEnsureZeroMean</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. If set to null, the value of the outputColumnName will be used as source.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ExampleWeightColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>ExampleWeightColumn</maml:name> <maml:description> <maml:para>The name of the example weight column (optional).</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Rank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Rank</maml:name> <maml:description> <maml:para>The number of principal components.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: OverSampling --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OverSampling</maml:name> <maml:description> <maml:para>Oversampling parameter for randomized PrincipalComponentAnalysis training.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>20</dev:defaultvalue> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> <maml:para>The seed for random number generation.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: DontEnsureZeroMean --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontEnsureZeroMean</maml:name> <maml:description> <maml:para>Disable center data to be zero mean.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-RemoveStopWordsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>RemoveStopWordsTransform</command:noun> <command:name>Add-RemoveStopWordsTransform</command:name> <maml:description> <maml:para>Remove default (for the specified language) or specified stop words from input columns.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Remove default (for the specified language) or specified stop words from input columns.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: Default --> <command:syntaxItem> <maml:name>Add-RemoveStopWordsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Language --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Language</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.Language</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.Language</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: Custom --> <command:syntaxItem> <maml:name>Add-RemoveStopWordsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Words --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Words</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be variable-size vector of text.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to copy the data from. This estimator operates over vector of text.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Language --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Language</maml:name> <maml:description> <maml:para>Langauge of the input text column inputColumnName.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Text.Language</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Text.Language</maml:name> </dev:type> <dev:defaultvalue>English</dev:defaultvalue> </command:parameter> <!-- Parameter: Words --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Words</maml:name> <maml:description> <maml:para>Array of words to remove.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ReplaceMissingValuesTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ReplaceMissingValuesTransform</command:noun> <command:name>Add-ReplaceMissingValuesTransform</command:name> <maml:description> <maml:para>Create a new output column, the value of which is set to a default value if the value is missing from the input column, and the input value otherwise.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Create a new output column, the value of which is set to a default value if the value is missing from the input column, and the input value otherwise.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ReplaceMissingValuesTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ReplacementMode --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ReplacementMode</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.ReplacementMode</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.ReplacementMode</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontImputeBySlot --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontImputeBySlot</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be the same as that of the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to copy the data from. This estimator operates over scalar or vector of Single or Double.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ReplacementMode --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ReplacementMode</maml:name> <maml:description> <maml:para>The type of replacement to use as specified in MissingValueReplacingEstimator.ReplacementMode</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.ReplacementMode</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.ReplacementMode</maml:name> </dev:type> <dev:defaultvalue>DefaultValue</dev:defaultvalue> </command:parameter> <!-- Parameter: DontImputeBySlot --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontImputeBySlot</maml:name> <maml:description> <maml:para>Per-slot imputation of replacement is performed. Otherwise, replacement value is imputed for the entire vector column. This setting is ignored for scalars and variable vectors, where imputation is always for the entire column.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ResizeImagesTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ResizeImagesTransform</command:noun> <command:name>Add-ResizeImagesTransform</command:name> <maml:description> <maml:para>Resize images.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Resize images.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ResizeImagesTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Height --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Height</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Width --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>Width</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ResizeKind --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ResizeKind</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.ResizingKind</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.ResizingKind</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: CropAnchor --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>CropAnchor</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.Anchor</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.Anchor</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be the same as that of the input column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column with images. This estimator operates over MLImage.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Height --> <command:parameter required="True" globbing="False" pipelineInput="False" position="2"> <maml:name>Height</maml:name> <maml:description> <maml:para>The transformed image height.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Width --> <command:parameter required="True" globbing="False" pipelineInput="False" position="3"> <maml:name>Width</maml:name> <maml:description> <maml:para>The transformed image width.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: ResizeKind --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ResizeKind</maml:name> <maml:description> <maml:para>The type of image resizing as specified in ImageResizingEstimator.ResizingKind.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.ResizingKind</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.ResizingKind</maml:name> </dev:type> <dev:defaultvalue>IsoCrop</dev:defaultvalue> </command:parameter> <!-- Parameter: CropAnchor --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>CropAnchor</maml:name> <maml:description> <maml:para>Where to place the anchor, to start cropping. Options defined in ImageResizingEstimator.Anchor</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.Image.Anchor</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.Image.Anchor</maml:name> </dev:type> <dev:defaultvalue>Center</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SelectColumnsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SelectColumnsTransform</command:noun> <command:name>Add-SelectColumnsTransform</command:name> <maml:description> <maml:para>Select one or more columns to keep from the input data.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Select one or more columns to keep from the input data.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SelectColumnsTransform</maml:name> <!-- Parameter: Columns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Columns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: KeepHidden --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeepHidden</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Columns --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Columns</maml:name> <maml:description> <maml:para>The array of column names to keep.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: KeepHidden --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>KeepHidden</maml:name> <maml:description> <maml:para>If true will keep hidden columns and false will remove hidden columns. Keeping hidden columns, instead of dropping them, is recommended when it is necessary to understand how the inputs of a pipeline map to outputs of the pipeline, for debugging purposes.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SelectFeaturesBasedOnCountTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SelectFeaturesBasedOnCountTransform</command:noun> <command:name>Add-SelectFeaturesBasedOnCountTransform</command:name> <maml:description> <maml:para>Select features whose non-default values are greater than a threshold.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Select features whose non-default values are greater than a threshold.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SelectFeaturesBasedOnCountTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Count --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>Count</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be the same as the input column's data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. If set to null, the value of the outputColumnName will be used as source. This estimator operates over vector or scalar of numeric, text or keys data types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Count --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>Count</maml:name> <maml:description> <maml:para>If the count of non-default values for a slot is greater than or equal to this threshold in the training data, the slot is preserved.</maml:para> </maml:description> <command:parameterValue required="true">System.Int64</command:parameterValue> <dev:type> <maml:name>System.Int64</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-SelectFeaturesBasedOnMutualInformationTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>SelectFeaturesBasedOnMutualInformationTransform</command:noun> <command:name>Add-SelectFeaturesBasedOnMutualInformationTransform</command:name> <maml:description> <maml:para>Select the features on which the data in the label column is most dependent.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Select the features on which the data in the label column is most dependent.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-SelectFeaturesBasedOnMutualInformationTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>LabelColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SlotsInOutput --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SlotsInOutput</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Bins --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bins</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. If set to null, the value of the outputColumnName will be used as source.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: LabelColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>LabelColumn</maml:name> <maml:description> <maml:para>The name of the label column.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Label</dev:defaultvalue> </command:parameter> <!-- Parameter: SlotsInOutput --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SlotsInOutput</maml:name> <maml:description> <maml:para>The maximum number of slots to preserve in the output. The number of slots to preserve is taken across all input columns.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1000</dev:defaultvalue> </command:parameter> <!-- Parameter: Bins --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Bins</maml:name> <maml:description> <maml:para>Max number of bins used to approximate mutual information between each input column and the label column. Power of 2 recommended.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>256</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-TokenizeIntoCharactersAsKeysTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>TokenizeIntoCharactersAsKeysTransform</command:noun> <command:name>Add-TokenizeIntoCharactersAsKeysTransform</command:name> <maml:description> <maml:para>Split one or more text columns into individual characters floats over a set of topics.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Split one or more text columns into individual characters floats over a set of topics.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-TokenizeIntoCharactersAsKeysTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DontUseMarkerCharacters --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseMarkerCharacters</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be a variable-sized vector of keys.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. This estimator operates over text data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: DontUseMarkerCharacters --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DontUseMarkerCharacters</maml:name> <maml:description> <maml:para>To be able to distinguish the tokens, for example for debugging purposes, you can choose to prepend a marker character, 0x02, to the beginning, and append another marker character, 0x03, to the end of the output vector of characters.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-TokenizeIntoWordsTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>TokenizeIntoWordsTransform</command:noun> <command:name>Add-TokenizeIntoWordsTransform</command:name> <maml:description> <maml:para>Split one or more text columns into individual words.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Split one or more text columns into individual words.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-TokenizeIntoWordsTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Separators --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>Separators</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Char[]</command:parameterValue> <dev:type> <maml:name>System.Char[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName. This column's data type will be a variable-size vector of text.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of the column to transform. If set to null, the value of the outputColumnName will be used as source. This estimator operates on scalar of text and vector of text data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Separators --> <command:parameter required="False" globbing="False" pipelineInput="False" position="2"> <maml:name>Separators</maml:name> <maml:description> <maml:para>The separators to use (uses space character by default).</maml:para> </maml:description> <command:parameterValue required="true">System.Char[]</command:parameterValue> <dev:type> <maml:name>System.Char[]</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Register-MLType --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Register</command:verb> <command:noun>MLType</command:noun> <command:name>Register-MLType</command:name> <maml:description> <maml:para>Register a custom type from a type definition.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Register a custom type from a type definition.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: FromFile --> <command:syntaxItem> <maml:name>Register-MLType</maml:name> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Encoding --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Encoding</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Text.Encoding</command:parameterValue> <dev:type> <maml:name>System.Text.Encoding</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PassThru --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PassThru</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: FromHashtable --> <command:syntaxItem> <maml:name>Register-MLType</maml:name> <!-- Parameter: Definition --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Definition</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Collections.IDictionary</command:parameterValue> <dev:type> <maml:name>System.Collections.IDictionary</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: PassThru --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PassThru</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Path</maml:name> <maml:description> <maml:para>The path of the type definition file.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Definition --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Definition</maml:name> <maml:description> <maml:para>The type definition from which to create the type.</maml:para> </maml:description> <command:parameterValue required="true">System.Collections.IDictionary</command:parameterValue> <dev:type> <maml:name>System.Collections.IDictionary</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Encoding --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Encoding</maml:name> <maml:description> <maml:para>The encoding of the type definition file.</maml:para> </maml:description> <command:parameterValue required="true">System.Text.Encoding</command:parameterValue> <dev:type> <maml:name>System.Text.Encoding</maml:name> </dev:type> <dev:defaultvalue>UTF8</dev:defaultvalue> </command:parameter> <!-- Parameter: PassThru --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>PassThru</maml:name> <maml:description> <maml:para>Return the registered type.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: System.Collections.IDictionary --> <command:inputType> <dev:type> <maml:name>System.Collections.IDictionary</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a dictionary with the type definition to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: System.Collections.IDictionary --> <command:returnValue> <dev:type> <maml:name>System.Collections.IDictionary</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a dictionary with the type definition to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Get-MLType --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Get</command:verb> <command:noun>MLType</command:noun> <command:name>Get-MLType</command:name> <maml:description> <maml:para>Get a registered type.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Get a registered type.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Get-MLType</maml:name> <!-- Parameter: Type --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="0"> <maml:name>Type</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Type --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="0"> <maml:name>Type</maml:name> <maml:description> <maml:para>The type to fetch from the registered types. Leave empty to get all types.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: System.String --> <command:inputType> <dev:type> <maml:name>System.String</maml:name> </dev:type> <maml:description> <maml:para>You can pipe the name of the type to fetch to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: System.String --> <command:returnValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <maml:description> <maml:para>You can pipe the name of the type to fetch to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ForecastBySsaTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ForecastBySsaTransform</command:noun> <command:name>Add-ForecastBySsaTransform</command:name> <maml:description> <maml:para>Singular Spectrum Analysis (SSA) model for univariate time-series forecasting.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Singular Spectrum Analysis (SSA) model for univariate time-series forecasting.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Add-ForecastBySsaTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: WindowSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>WindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SeriesLength --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>SeriesLength</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: TrainSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>TrainSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Horizon --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Horizon</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: IsAdaptive --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>IsAdaptive</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DiscountFactor --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DiscountFactor</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: RankSelectionMethod --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RankSelectionMethod</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.RankSelectionMethod</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.RankSelectionMethod</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Rank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Rank</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxRank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxRank</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ShouldNotStabilize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShouldNotStabilize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ShouldMaintainInfo --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShouldMaintainInfo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: MaxGrowth --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxGrowth</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.GrowthRatio</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.GrowthRatio</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ConfidenceLowerBoundColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ConfidenceLowerBoundColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ConfidenceUpperBoundColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ConfidenceUpperBoundColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ConfidenceLevel --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ConfidenceLevel</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: VariableHorizon --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>VariableHorizon</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from the transformation of inputColumnName.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to transform. If set to null, the value of the outputColumnName will be used as source. The vector contains Alert, Raw Score, P-Value as first three values.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: WindowSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>WindowSize</maml:name> <maml:description> <maml:para>The length of the window on the series for building the trajectory matrix (parameter L).</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: SeriesLength --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>SeriesLength</maml:name> <maml:description> <maml:para>The length of series that is kept in buffer for modeling (parameter N).</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: TrainSize --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>TrainSize</maml:name> <maml:description> <maml:para>The length of series from the beginning used for training.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Horizon --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Horizon</maml:name> <maml:description> <maml:para>The number of values to forecast.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: IsAdaptive --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>IsAdaptive</maml:name> <maml:description> <maml:para>The flag determining whether the model is adaptive.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: DiscountFactor --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DiscountFactor</maml:name> <maml:description> <maml:para>The discount factor in [0,1] used for online updates.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>1</dev:defaultvalue> </command:parameter> <!-- Parameter: RankSelectionMethod --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RankSelectionMethod</maml:name> <maml:description> <maml:para>The rank selection method.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.RankSelectionMethod</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.RankSelectionMethod</maml:name> </dev:type> <dev:defaultvalue>Exact</dev:defaultvalue> </command:parameter> <!-- Parameter: Rank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Rank</maml:name> <maml:description> <maml:para>The desired rank of the subspace used for SSA projection (parameter r). This parameter should be in the range in [1, windowSize]. If set to null, the rank is automatically determined based on prediction error minimization.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxRank --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxRank</maml:name> <maml:description> <maml:para>The maximum rank considered during the rank selection process. If not provided (i.e. set to null), it is set to windowSize - 1.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ShouldNotStabilize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShouldNotStabilize</maml:name> <maml:description> <maml:para>The flag determining whether the model should be stabilized.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: ShouldMaintainInfo --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ShouldMaintainInfo</maml:name> <maml:description> <maml:para>The flag determining whether the meta information for the model needs to be maintained.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: MaxGrowth --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>MaxGrowth</maml:name> <maml:description> <maml:para>The maximum growth on the exponential trend.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TimeSeries.GrowthRatio</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TimeSeries.GrowthRatio</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ConfidenceLowerBoundColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ConfidenceLowerBoundColumn</maml:name> <maml:description> <maml:para>The name of the confidence interval lower bound column. If not specified then confidence intervals will not be calculated.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ConfidenceUpperBoundColumn --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ConfidenceUpperBoundColumn</maml:name> <maml:description> <maml:para>The name of the confidence interval upper bound column. If not specified then confidence intervals will not be calculated.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: ConfidenceLevel --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ConfidenceLevel</maml:name> <maml:description> <maml:para>The confidence level for forecasting.</maml:para> </maml:description> <command:parameterValue required="true">System.Single</command:parameterValue> <dev:type> <maml:name>System.Single</maml:name> </dev:type> <dev:defaultvalue>0,95</dev:defaultvalue> </command:parameter> <!-- Parameter: VariableHorizon --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>VariableHorizon</maml:name> <maml:description> <maml:para>Set this to true if horizon will change after training(at prediction time).</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Add-ScoreTensorFlowModelTransform --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Add</command:verb> <command:noun>ScoreTensorFlowModelTransform</command:noun> <command:name>Add-ScoreTensorFlowModelTransform</command:name> <maml:description> <maml:para>Scores a dataset using a pre-trained TensorFlow model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Scores a dataset using a pre-trained TensorFlow model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: FromPath --> <command:syntaxItem> <maml:name>Add-ScoreTensorFlowModelTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AddBatchDimension --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AddBatchDimension</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: FromModel --> <command:syntaxItem> <maml:name>Add-ScoreTensorFlowModelTransform</maml:name> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Model</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TensorFlowModel</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TensorFlowModel</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AddBatchDimension --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AddBatchDimension</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>The name of the requested model output. The data type is a vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>The name of the model input. The data type is a vector of Single.</maml:para> </maml:description> <command:parameterValue required="true">System.String[]</command:parameterValue> <dev:type> <maml:name>System.String[]</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Path</maml:name> <maml:description> <maml:para>The location of the TensorFlow model to load.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>Model</maml:name> <maml:description> <maml:para>The TensorFlow model.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Transforms.TensorFlowModel</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Transforms.TensorFlowModel</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: AddBatchDimension --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AddBatchDimension</maml:name> <maml:description> <maml:para>Add a batch dimension to the input e.g. input = [224, 224, 3] => [-1, 224, 224, 3]. This parameter is used to deal with models that have unknown shape but the internal operators in the model require data to have batch dimension as well.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendTo --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>AppendTo</maml:name> <maml:description> <maml:para>Append the created estimator to the end of this chain.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: AppendScope --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>AppendScope</maml:name> <maml:description> <maml:para>The scope allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used 'only for training', 'for training and evaluation' etc.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerScope</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerScope</maml:name> </dev:type> <dev:defaultvalue>Everything</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer> --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.Data.EstimatorChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <maml:description> <maml:para>You can pipe the EstimatorChain to append to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Import-TensorFlowModel --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Import</command:verb> <command:noun>TensorFlowModel</command:noun> <command:name>Import-TensorFlowModel</command:name> <maml:description> <maml:para>Load TensorFlow model into memory.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Load TensorFlow model into memory. This is the convenience method that allows the model to be loaded once and subsequently use it for querying schema and creation of TensorFlowEstimator.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Import-TensorFlowModel</maml:name> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Path</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OutputAsBatched --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputAsBatched</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Path --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Path</maml:name> <maml:description> <maml:para>The location of the TensorFlow model to load.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: OutputAsBatched --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputAsBatched</maml:name> <maml:description> <maml:para>If the first dimension of the output is unknown, should it be treated as batched or not.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Invoke-MLModel --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Invoke</command:verb> <command:noun>MLModel</command:noun> <command:name>Invoke-MLModel</command:name> <maml:description> <maml:para>Transform data using a machine learning model.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Transform data using a machine learning model.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: DataView --> <command:syntaxItem> <maml:name>Invoke-MLModel</maml:name> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Model</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> <!-- Parameter set: Object --> <command:syntaxItem> <maml:name>Invoke-MLModel</maml:name> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Model</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputObject --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>InputObject</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Object</command:parameterValue> <dev:type> <maml:name>System.Object</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OutputType --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputType</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputType --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>InputType</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputSchema --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>InputSchema</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.SchemaDefinition</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.SchemaDefinition</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OutputSchema --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputSchema</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.SchemaDefinition</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.SchemaDefinition</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: IgnoreMissingColumns --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>IgnoreMissingColumns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: NoCache --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NoCache</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Model --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Model</maml:name> <maml:description> <maml:para>The transformer to transform the data.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.TransformerChain<Microsoft.ML.ITransformer></maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>Data</maml:name> <maml:description> <maml:para>The data to transform.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputObject --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>InputObject</maml:name> <maml:description> <maml:para>The data for which to get predictions.</maml:para> </maml:description> <command:parameterValue required="true">System.Object</command:parameterValue> <dev:type> <maml:name>System.Object</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: OutputType --> <command:parameter required="True" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputType</maml:name> <maml:description> <maml:para>The output type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputType --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>InputType</maml:name> <maml:description> <maml:para>The data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>Type from Object</dev:defaultvalue> </command:parameter> <!-- Parameter: InputSchema --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>InputSchema</maml:name> <maml:description> <maml:para>The input schema definition.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.SchemaDefinition</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.SchemaDefinition</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: OutputSchema --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>OutputSchema</maml:name> <maml:description> <maml:para>The output schema definition</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.Data.SchemaDefinition</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.Data.SchemaDefinition</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: IgnoreMissingColumns --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>IgnoreMissingColumns</maml:name> <maml:description> <maml:para>Ignore missing columns.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: NoCache --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>NoCache</maml:name> <maml:description> <maml:para>Do not cache the prediction function.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: System.Object --> <command:inputType> <dev:type> <maml:name>System.Object</maml:name> </dev:type> <maml:description> <maml:para>You can pipe objects of InputType to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: System.Object --> <command:returnValue> <dev:type> <maml:name>System.Object</maml:name> </dev:type> <maml:description> <maml:para>You can pipe objects of InputType to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: ConvertTo-Enumerable --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>ConvertTo</command:verb> <command:noun>Enumerable</command:noun> <command:name>ConvertTo-Enumerable</command:name> <maml:description> <maml:para>Convert an IDataView to an enumerable list.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Convert an IDataView to an enumerable list.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: ToObject --> <command:syntaxItem> <maml:name>ConvertTo-Enumerable</maml:name> <!-- Parameter: Type --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Type</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Skip --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Skip</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: SkipLast --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLast</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Take --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Take</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: TakeLast --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TakeLast</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: ElementAt --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ElementAt</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: First --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>First</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Last --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Last</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: IgnoreMissingColumns --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>IgnoreMissingColumns</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Type --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Type</maml:name> <maml:description> <maml:para>The registered data type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> <maml:para>The input data.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Skip --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Skip</maml:name> <maml:description> <maml:para>Skips a specified number of elements from the start of the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: SkipLast --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>SkipLast</maml:name> <maml:description> <maml:para>Skips a specified number of elements from the end of the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Take --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Take</maml:name> <maml:description> <maml:para>Returns a specified number of elements from the start of the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: TakeLast --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>TakeLast</maml:name> <maml:description> <maml:para>Returns a specified number of elements from the end of the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: ElementAt --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>ElementAt</maml:name> <maml:description> <maml:para>Returns the element at the specified index in the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: First --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>First</maml:name> <maml:description> <maml:para>Returns one element from the start the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Last --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Last</maml:name> <maml:description> <maml:para>Returns one element from the end the data.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: IgnoreMissingColumns --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>IgnoreMissingColumns</maml:name> <maml:description> <maml:para>Whether to ignore the case when a requested column is not present in the data view.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.IDataView --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.IDataView --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Get-BootstrapSample --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Get</command:verb> <command:noun>BootstrapSample</command:noun> <command:name>Get-BootstrapSample</command:name> <maml:description> <maml:para>Take an approximate bootstrap sample of the input data.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Take an approximate bootstrap sample of the input data.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Get-BootstrapSample</maml:name> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Complement --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Complement</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> <maml:para>The input data.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Seed --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Seed</maml:name> <maml:description> <maml:para>The random seed. If unspecified, the random state will be instead derived from the MLContext.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>null</dev:defaultvalue> </command:parameter> <!-- Parameter: Complement --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Complement</maml:name> <maml:description> <maml:para>Whether this is the out-of-bag sample, that is, all those rows that are not selected by the transform. Can be used to create a complementary pair of samples by using the same seed.</maml:para> </maml:description> <command:parameterValue required="true">System.Management.Automation.SwitchParameter</command:parameterValue> <dev:type> <maml:name>System.Management.Automation.SwitchParameter</maml:name> </dev:type> <dev:defaultvalue>False</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.IDataView --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.IDataView --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Measure-EntireAnomalyBySrCnn --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Measure</command:verb> <command:noun>EntireAnomalyBySrCnn</command:noun> <command:name>Measure-EntireAnomalyBySrCnn</command:name> <maml:description> <maml:para>Detect timeseries anomalies for entire input using SRCNN algorithm.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Detect timeseries anomalies for entire input using SRCNN algorithm.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Measure-EntireAnomalyBySrCnn</maml:name> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Threshold --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Threshold</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: BatchSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>BatchSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Sensitivity --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Sensitivity</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DetectMode --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DetectMode</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.TimeSeries.SrCnnDetectMode</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.TimeSeries.SrCnnDetectMode</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Period --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Period</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: DeseasonalityMode --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DeseasonalityMode</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.TimeSeries.SrCnnDeseasonalityMode</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.TimeSeries.SrCnnDeseasonalityMode</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> <maml:para>The input data.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: OutputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>OutputColumn</maml:name> <maml:description> <maml:para>Name of the column resulting from data processing of inputColumnName. The column data is a vector of Double. The length of this vector varies depending on DetectMode.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="1"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to process. The column data must be Double.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Threshold --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Threshold</maml:name> <maml:description> <maml:para>The threshold to determine an anomaly. An anomaly is detected when the calculated SR raw score for a given point is more than the set threshold. This threshold must fall between [0,1]. The default value is 0.3.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,3</dev:defaultvalue> </command:parameter> <!-- Parameter: BatchSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>BatchSize</maml:name> <maml:description> <maml:para>Divide the input data into batches to fit srcnn model. When set to -1, use the whole input to fit model instead of batch by batch, when set to a positive integer, use this number as batch size. Must be -1 or a positive integer no less than 12. The default value is 1024.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>1024</dev:defaultvalue> </command:parameter> <!-- Parameter: Sensitivity --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Sensitivity</maml:name> <maml:description> <maml:para>Sensitivity of boundaries, only useful when srCnnDetectMode is AnomalyAndMargin. Must be in [0,100]. The default value is 99.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>99</dev:defaultvalue> </command:parameter> <!-- Parameter: DetectMode --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DetectMode</maml:name> <maml:description> <maml:para>An enum type of SrCnnDetectMode. When set to AnomalyOnly, the output vector would be a 3-element Double vector of (IsAnomaly, RawScore, Mag). When set to AnomalyAndExpectedValue, the output vector would be a 4-element Double vector of (IsAnomaly, RawScore, Mag, ExpectedValue). When set to AnomalyAndMargin, the output vector would be a 7-element Double vector of (IsAnomaly, AnomalyScore, Mag, ExpectedValue, BoundaryUnit, UpperBoundary, LowerBoundary). The RawScore is output by SR to determine whether a point is an anomaly or not, under AnomalyAndMargin mode, when a point is an anomaly, an AnomalyScore will be calculated according to sensitivity setting. The default value is AnomalyOnly.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.TimeSeries.SrCnnDetectMode</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.TimeSeries.SrCnnDetectMode</maml:name> </dev:type> <dev:defaultvalue>AnomalyOnly</dev:defaultvalue> </command:parameter> <!-- Parameter: Period --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Period</maml:name> <maml:description> <maml:para>The period of the series. The default value is 0.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>0</dev:defaultvalue> </command:parameter> <!-- Parameter: DeseasonalityMode --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>DeseasonalityMode</maml:name> <maml:description> <maml:para>The Deseasonality modes of SrCnn models. The de-seasonality mode is invoked when the period of the series is greater than 0. The default value is Stl.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.TimeSeries.SrCnnDeseasonalityMode</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.TimeSeries.SrCnnDeseasonalityMode</maml:name> </dev:type> <dev:defaultvalue>Stl</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.IDataView --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.IDataView --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: Measure-Seasonality --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>Measure</command:verb> <command:noun>Seasonality</command:noun> <command:name>Measure-Seasonality</command:name> <maml:description> <maml:para>Detects this predictable interval (or period) by adopting techniques of fourier analysis.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>In time series data, seasonality (or periodicity) is the presence of variations that occur at specific regular intervals, such as weekly, monthly, or quarterly. This method detects this predictable interval (or period) by adopting techniques of fourier analysis. Assuming the input values have the same time interval (e.g., sensor data collected at every second ordered by timestamps), this method takes a list of time-series data, and returns the regular period for the input seasonal data, if a predictable fluctuation or pattern can be found that recurs or repeats over this period throughout the input values. Returns -1 if no such pattern is found, that is, the input values do not follow a seasonal fluctuation.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>Measure-Seasonality</maml:name> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>InputColumn</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: WindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>WindowSize</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: RandomnessThreshold --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RandomnessThreshold</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Data --> <command:parameter required="True" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Data</maml:name> <maml:description> <maml:para>The input data.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.IDataView</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: InputColumn --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>InputColumn</maml:name> <maml:description> <maml:para>Name of column to process. The column data must be Double.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: WindowSize --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>WindowSize</maml:name> <maml:description> <maml:para>An upper bound on the number of values to be considered in the input values. When set to -1, use the whole input to fit model; when set to a positive integer, only the first windowSize number of values will be considered. The default value is -1.</maml:para> </maml:description> <command:parameterValue required="true">System.Int32</command:parameterValue> <dev:type> <maml:name>System.Int32</maml:name> </dev:type> <dev:defaultvalue>-1</dev:defaultvalue> </command:parameter> <!-- Parameter: RandomnessThreshold --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>RandomnessThreshold</maml:name> <maml:description> <maml:para>Randomness threshold that specifies how confidently the input values follow a predictable pattern recurring as seasonal data. The range is between [0, 1]. The default value is 0.95.</maml:para> </maml:description> <command:parameterValue required="true">System.Double</command:parameterValue> <dev:type> <maml:name>System.Double</maml:name> </dev:type> <dev:defaultvalue>0,95</dev:defaultvalue> </command:parameter> <!-- Parameter: Context --> <command:parameter required="False" globbing="False" pipelineInput="False" position="named"> <maml:name>Context</maml:name> <maml:description> <maml:para>The context on which to perform the action. If omitted, the current (cached) context will be used.</maml:para> </maml:description> <command:parameterValue required="true">Microsoft.ML.MLContext</command:parameterValue> <dev:type> <maml:name>Microsoft.ML.MLContext</maml:name> </dev:type> <dev:defaultvalue>Current context</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: Microsoft.ML.IDataView --> <command:inputType> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: Microsoft.ML.IDataView --> <command:returnValue> <dev:type> <maml:name>Microsoft.ML.IDataView</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a data view to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> <!-- Cmdlet: New-MLObject --> <command:command xmlns:maml="https://schemas.microsoft.com/maml/2004/10" xmlns:command="https://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="https://schemas.microsoft.com/maml/dev/2004/10"> <!-- Details --> <command:details> <command:verb>New</command:verb> <command:noun>MLObject</command:noun> <command:name>New-MLObject</command:name> <maml:description> <maml:para>Create a new object of the specified registered type with the specified properties.</maml:para> </maml:description> </command:details> <maml:description> <maml:para>Create a new object of the specified registered type with the specified properties.</maml:para> </maml:description> <!-- Syntax --> <command:syntax> <!-- Parameter set: __AllParameterSets --> <command:syntaxItem> <maml:name>New-MLObject</maml:name> <!-- Parameter: Type --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Type</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> <maml:uri /> </dev:type> </command:parameter> <!-- Parameter: Properties --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Properties</maml:name> <maml:description> </maml:description> <command:parameterValue required="true">System.Collections.IDictionary</command:parameterValue> <dev:type> <maml:name>System.Collections.IDictionary</maml:name> <maml:uri /> </dev:type> </command:parameter> </command:syntaxItem> </command:syntax> <!-- Parameters --> <command:parameters> <!-- Parameter: Type --> <command:parameter required="True" globbing="False" pipelineInput="False" position="0"> <maml:name>Type</maml:name> <maml:description> <maml:para>Create an object of this registered type.</maml:para> </maml:description> <command:parameterValue required="true">System.String</command:parameterValue> <dev:type> <maml:name>System.String</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> <!-- Parameter: Properties --> <command:parameter required="False" globbing="False" pipelineInput="True (ByValue)" position="named"> <maml:name>Properties</maml:name> <maml:description> <maml:para>The properties to assign to the object.</maml:para> </maml:description> <command:parameterValue required="true">System.Collections.IDictionary</command:parameterValue> <dev:type> <maml:name>System.Collections.IDictionary</maml:name> </dev:type> <dev:defaultvalue>None</dev:defaultvalue> </command:parameter> </command:parameters> <!-- InputTypes --> <command:inputTypes> <!-- Input type: System.Collections.IDictionary --> <command:inputType> <dev:type> <maml:name>System.Collections.IDictionary</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a dictionary with the properties for the new object to this cmdlet.</maml:para> </maml:description> </command:inputType> </command:inputTypes> <!-- OutputTypes --> <command:returnValues> <!-- Output type: System.Collections.IDictionary --> <command:returnValue> <dev:type> <maml:name>System.Collections.IDictionary</maml:name> </dev:type> <maml:description> <maml:para>You can pipe a dictionary with the properties for the new object to this cmdlet.</maml:para> </maml:description> </command:returnValue> </command:returnValues> <!-- Examples --> <command:examples> </command:examples> <!-- Notes --> <maml:alertSet> <maml:alert> <maml:para></maml:para> </maml:alert> </maml:alertSet> <!-- RelatedLinks --> <maml:relatedLinks> </maml:relatedLinks> </command:command> </helpItems> |