Az.MachineLearningServices

1.0.0

custom/New-AzMLWorkspaceSweepJobObject.ps1

                                
# ----------------------------------------------------------------------------------

# Copyright (c) Microsoft Corporation. All rights reserved.

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

# http://www.apache.org/licenses/LICENSE-2.0

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

# Code generated by Microsoft (R) AutoRest Code Generator.Changes may cause incorrect behavior and will be lost if the code

# is regenerated.

# ----------------------------------------------------------------------------------

<#

.Synopsis

Create an in-memory object for SweepJob.

.Description

Create an in-memory object for SweepJob.

.Outputs

Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.SweepJob

.Link

https://learn.microsoft.com/powershell/module/az.MLWorkspace/new-AzMLWorkspaceSweepJobObject

#>

function New-AzMLWorkspaceSweepJobObject {

    [OutputType('Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.SweepJob')]

    [CmdletBinding(PositionalBinding=$false)]

    Param(

        [Parameter(HelpMessage="[Required] Specifies the type of distribution framework.")]

        [ArgumentCompleter([Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.DistributionType])]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.DistributionType]

        $DistributionType,

        [Parameter(HelpMessage="Number of intervals by which to delay the first evaluation.")]

        [int]

        $EarlyTerminationDelayEvaluation,

        [Parameter(HelpMessage="Interval (number of runs) between policy evaluations.")]

        [int]

        $EarlyTerminationEvaluationInterval,

        [Parameter(HelpMessage="[Required] Name of policy configuration.")]

        [ArgumentCompleter([Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.EarlyTerminationPolicyType])]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.EarlyTerminationPolicyType]

        $EarlyTerminationPolicyType,

        [Parameter(HelpMessage="Mapping of input data bindings used in the job.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.ISweepJobInputs]

        $JobInput,

        [Parameter(HelpMessage="Sweep Job max concurrent trials.")]

        [int]

        $LimitMaxConcurrentTrial,

        [Parameter(HelpMessage="Sweep Job max total trials.")]

        [int]

        $LimitMaxTotalTrial,

        [Parameter(HelpMessage="The max run duration in ISO 8601 format, after which the job will be cancelled. Only supports duration with precision as low as Seconds.")]

        [System.TimeSpan]

        $LimitTimeout,

        [Parameter(HelpMessage="Sweep Job Trial timeout value.")]

        [System.TimeSpan]

        $LimitTrialTimeout,

        [Parameter(Mandatory, HelpMessage="[Required] Defines supported metric goals for hyperparameter tuning.")]

        [ArgumentCompleter([Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.Goal])]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.Goal]

        $ObjectiveGoal,

        [Parameter(Mandatory, HelpMessage="[Required] Name of the metric to optimize.")]

        [string]

        $ObjectivePrimaryMetric,

        [Parameter(HelpMessage="Mapping of output data bindings used in the job.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.ISweepJobOutputs]

        $JobOutput,

        [Parameter(HelpMessage="Optional number of instances or nodes used by the compute target.")]

        [int]

        $ResourceInstanceCount,

        [Parameter(HelpMessage="Optional type of VM used as supported by the compute target.")]

        [string]

        $ResourceInstanceType,

        [Parameter(HelpMessage="Additional properties bag.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IResourceConfigurationProperties]

        $ResourceProperty,

        [Parameter(Mandatory, HelpMessage="[Required] The algorithm used for generating hyperparameter values, along with configuration properties.")]

        [ArgumentCompleter([Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.SamplingAlgorithmType])]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.SamplingAlgorithmType]

        $SamplingAlgorithmType,

        [Parameter(Mandatory, HelpMessage="[Required] A dictionary containing each parameter and its distribution. The dictionary key is the name of the parameter.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.IAny]

        $SearchSpace,

        [Parameter(HelpMessage="ARM resource ID of the code asset.")]

        [string]

        $TrialCodeId,

        [Parameter(Mandatory, HelpMessage="[Required] The command to execute on startup of the job. eg. `"python train.py`".")]

        [string]

        $TrialCommand,

        [Parameter(Mandatory, HelpMessage="[Required] The ARM resource ID of the Environment specification for the job.")]

        [string]

        $TrialEnvironmentId,

        [Parameter(HelpMessage="Environment variables included in the job.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.ITrialComponentEnvironmentVariables]

        $TrialEnvironmentVariable,

        [Parameter(HelpMessage="ARM resource ID of the compute resource.")]

        [string]

        $ComputeId,

        [Parameter(HelpMessage="Display name of job.")]

        [string]

        $DisplayName,

        [Parameter(HelpMessage="The name of the experiment the job belongs to. If not set, the job is placed in the `"Default`" experiment.")]

        [string]

        $ExperimentName,

        [Parameter(HelpMessage="[Required] Specifies the type of identity framework.")]

        [ArgumentCompleter([Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.IdentityConfigurationType])]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.IdentityConfigurationType]

        $IdentityType,

        [Parameter(HelpMessage="Is the asset archived?.")]

        [bool]

        $IsArchived,

        # [Parameter(HelpMessage="List of JobEndpoints.

        # For local jobs, a job endpoint will have an endpoint value of FileStreamObject.")]

        # [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IJobBaseServices]

        # $Service,

        [Parameter(HelpMessage="Url for endpoint.")]

        [string]

        $ServiceEndpoint,

        [Parameter(HelpMessage="Port for endpoint.")]

        [int]

        $ServicePort,

        [Parameter(HelpMessage="Additional properties to set on the endpoint.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IJobServiceProperties]

        $ServiceProperty,

        [Parameter(HelpMessage="Endpoint type.")]

        [string]

        $ServiceType,

        [Parameter(HelpMessage="The asset description text.")]

        [string]

        $Description,

        [Parameter(HelpMessage="The asset property dictionary.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IResourceBaseProperties]

        $Property,

        [Parameter(HelpMessage="Tag dictionary. Tags can be added, removed, and updated.")]

        [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IResourceBaseTags]

        $Tag

    )

    process {

        $Object = [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.SweepJob]::New()

        $Object.JobType = 'Sweep'

        $Object.LimitJobLimitsType = 'Sweep' # Required define in swagger.

        $Service = [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.JobBaseServices]::New()

        if ($PSBoundParameters.ContainsKey('DistributionType')) {

            $Object.DistributionType = $DistributionType

        }

        if ($PSBoundParameters.ContainsKey('EarlyTerminationDelayEvaluation')) {

            $Object.EarlyTerminationDelayEvaluation = $EarlyTerminationDelayEvaluation

        }

        if ($PSBoundParameters.ContainsKey('EarlyTerminationEvaluationInterval')) {

            $Object.EarlyTerminationEvaluationInterval = $EarlyTerminationEvaluationInterval

        }

        if ($PSBoundParameters.ContainsKey('EarlyTerminationPolicyType')) {

            $Object.EarlyTerminationPolicyType = $EarlyTerminationPolicyType

        }

        if ($PSBoundParameters.ContainsKey('JobInput')) {

            $Object.Input = $JobInput

        }

        if ($PSBoundParameters.ContainsKey('LimitMaxConcurrentTrial')) {

            $Object.LimitMaxConcurrentTrial = $LimitMaxConcurrentTrial

        }

        if ($PSBoundParameters.ContainsKey('LimitMaxTotalTrial')) {

            $Object.LimitMaxTotalTrial = $LimitMaxTotalTrial

        }

        if ($PSBoundParameters.ContainsKey('LimitTimeout')) {

            $Object.LimitTimeout = $LimitTimeout

        }

        if ($PSBoundParameters.ContainsKey('LimitTrialTimeout')) {

            $Object.LimitTrialTimeout = $LimitTrialTimeout

        }

        if ($PSBoundParameters.ContainsKey('ObjectiveGoal')) {

            $Object.ObjectiveGoal = $ObjectiveGoal

        }

        if ($PSBoundParameters.ContainsKey('ObjectivePrimaryMetric')) {

            $Object.ObjectivePrimaryMetric = $ObjectivePrimaryMetric

        }

        if ($PSBoundParameters.ContainsKey('JobOutput')) {

            $Object.Output = $JobOutput

        }

        if ($PSBoundParameters.ContainsKey('ResourceInstanceCount')) {

            $Object.ResourceInstanceCount = $ResourceInstanceCount

        }

        if ($PSBoundParameters.ContainsKey('ResourceInstanceType')) {

            $Object.ResourceInstanceType = $ResourceInstanceType

        }

        if ($PSBoundParameters.ContainsKey('ResourceProperty')) {

            $Object.ResourceProperty = $ResourceProperty

        }

        if ($PSBoundParameters.ContainsKey('SamplingAlgorithmType')) {

            $Object.SamplingAlgorithmType = $SamplingAlgorithmType

        }

        if ($PSBoundParameters.ContainsKey('SearchSpace')) {

            $Object.SearchSpace = $SearchSpace

        }

        if ($PSBoundParameters.ContainsKey('TrialCodeId')) {

            $Object.TrialCodeId = $TrialCodeId

        }

        if ($PSBoundParameters.ContainsKey('TrialCommand')) {

            $Object.TrialCommand = $TrialCommand

        }

        if ($PSBoundParameters.ContainsKey('TrialEnvironmentId')) {

            $Object.TrialEnvironmentId = $TrialEnvironmentId

        }

        if ($PSBoundParameters.ContainsKey('TrialEnvironmentVariable')) {

            $Object.TrialEnvironmentVariable = $TrialEnvironmentVariable

        }

        if ($PSBoundParameters.ContainsKey('ComputeId')) {

            $Object.ComputeId = $ComputeId

        }

        if ($PSBoundParameters.ContainsKey('DisplayName')) {

            $Object.DisplayName = $DisplayName

        }

        if ($PSBoundParameters.ContainsKey('ExperimentName')) {

            $Object.ExperimentName = $ExperimentName

        }

        if ($PSBoundParameters.ContainsKey('IdentityType')) {

            $Object.IdentityType = $IdentityType

        }

        if ($PSBoundParameters.ContainsKey('IsArchived')) {

            $Object.IsArchived = $IsArchived

        }

        # if ($PSBoundParameters.ContainsKey('Service')) {

        #     $Object.Service = $Service

        # }

        if ($PSBoundParameters.ContainsKey('ServiceEndpoint')) {

            $Service.Endpoint = $ServiceEndpoint

        }

        if ($PSBoundParameters.ContainsKey('ServicePort')) {

            $Service.Port = $ServicePort

        }

        if ($PSBoundParameters.ContainsKey('ServiceProperty')) {

            $Service.Property = $ServiceProperty

        }

        if ($PSBoundParameters.ContainsKey('ServiceType')) {

            $Service.Type = $ServiceType

        }

        if ($PSBoundParameters.ContainsKey('Description')) {

            $Object.Description = $Description

        }

        if ($PSBoundParameters.ContainsKey('Property')) {

            $Object.Property = $Property

        }

        if ($PSBoundParameters.ContainsKey('Tag')) {

            $Object.Tag = $Tag

        }

        $Object.Service = $Service

        return $Object

    }

}

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