AWS.Tools.SageMaker.XML
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<doc> <assembly> <name>AWS.Tools.SageMaker</name> </assembly> <members> <member name="T:Amazon.PowerShell.Cmdlets.SM.AddSMResourceTagCmdlet"> <summary> Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. <para> Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see <a href="https://aws.amazon.com/answers/account-management/aws-tagging-strategies/">AWS Tagging Strategies</a>. </para><note><para> Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you first create the tuning job by specifying them in the <code>Tags</code> parameter of <a>CreateHyperParameterTuningJob</a></para></note> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.AddSMResourceTagCmdlet.ResourceArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the resource that you want to tag.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.AddSMResourceTagCmdlet.Tag"> <summary> <para> <para>An array of <code>Tag</code> objects. Each tag is a key-value pair. Only the <code>key</code> parameter is required. If you don't specify a value, Amazon SageMaker sets the value to an empty string. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.AddSMResourceTagCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Tags'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.AddTagsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.AddTagsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.AddSMResourceTagCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the Tag parameter. The -PassThru parameter is deprecated, use -Select '^Tag' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.AddSMResourceTagCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmCmdlet"> <summary> Returns a description of the specified algorithm that is in your account. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmCmdlet.AlgorithmName"> <summary> <para> <para>The name of the algorithm to describe.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeAlgorithmResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeAlgorithmResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the AlgorithmName parameter. The -PassThru parameter is deprecated, use -Select '^AlgorithmName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet"> <summary> Lists the machine learning algorithms that have been created.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only algorithms created after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only algorithms created before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet.NameContain"> <summary> <para> <para>A string in the algorithm name. This filter returns only algorithms whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet.SortBy"> <summary> <para> <para>The parameter by which to sort the results. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet.SortOrder"> <summary> <para> <para>The sort order for the results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of algorithms to return in the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet.NextToken"> <summary> <para> <para>If the response to a previous <code>ListAlgorithms</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of algorithms, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'AlgorithmSummaryList'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListAlgorithmsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListAlgorithmsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NameContain parameter. The -PassThru parameter is deprecated, use -Select '^NameContain' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAlgorithmListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMAppCmdlet"> <summary> Describes the app. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppCmdlet.AppName"> <summary> <para> <para>The name of the app.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppCmdlet.AppType"> <summary> <para> <para>The type of app.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppCmdlet.DomainId"> <summary> <para> <para>The domain ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppCmdlet.UserProfileName"> <summary> <para> <para>The user profile name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeAppResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeAppResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the AppName parameter. The -PassThru parameter is deprecated, use -Select '^AppName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMAppListCmdlet"> <summary> Lists apps.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppListCmdlet.DomainIdEqual"> <summary> <para> <para>A parameter to search for the domain ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppListCmdlet.SortBy"> <summary> <para> <para>The parameter by which to sort the results. The default is CreationTime.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppListCmdlet.SortOrder"> <summary> <para> <para>The sort order for the results. The default is Ascending.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppListCmdlet.UserProfileNameEqual"> <summary> <para> <para>A parameter to search by user profile name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppListCmdlet.MaxResult"> <summary> <para> <para>Returns a list up to a specified limit.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppListCmdlet.NextToken"> <summary> <para> <para>If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Apps'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListAppsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListAppsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAppListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobCmdlet"> <summary> Returns information about an Amazon SageMaker job. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobCmdlet.AutoMLJobName"> <summary> <para> <para>Request information about a job using that job's unique name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeAutoMLJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeAutoMLJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the AutoMLJobName parameter. The -PassThru parameter is deprecated, use -Select '^AutoMLJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet"> <summary> Request a list of jobs.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.CreationTimeAfter"> <summary> <para> <para>Request a list of jobs, using a filter for time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.CreationTimeBefore"> <summary> <para> <para>Request a list of jobs, using a filter for time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>Request a list of jobs, using a filter for time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>Request a list of jobs, using a filter for time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.NameContain"> <summary> <para> <para>Request a list of jobs, using a search filter for name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.SortBy"> <summary> <para> <para>The parameter by which to sort the results. The default is AutoMLJobName.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.SortOrder"> <summary> <para> <para>The sort order for the results. The default is Descending.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.StatusEqual"> <summary> <para> <para>Request a list of jobs, using a filter for status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.MaxResult"> <summary> <para> <para>Request a list of jobs up to a specified limit.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.NextToken"> <summary> <para> <para>If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'AutoMLJobSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListAutoMLJobsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListAutoMLJobsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMAutoMLJobListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet"> <summary> List the Candidates created for the job.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet.AutoMLJobName"> <summary> <para> <para>List the Candidates created for the job by providing the job's name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet.CandidateNameEqual"> <summary> <para> <para>List the Candidates for the job and filter by candidate name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet.SortBy"> <summary> <para> <para>The parameter by which to sort the results. The default is Descending.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet.SortOrder"> <summary> <para> <para>The sort order for the results. The default is Ascending.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet.StatusEqual"> <summary> <para> <para>List the Candidates for the job and filter by status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet.MaxResult"> <summary> <para> <para>List the job's Candidates up to a specified limit.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet.NextToken"> <summary> <para> <para>If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Candidates'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListCandidatesForAutoMLJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListCandidatesForAutoMLJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the AutoMLJobName parameter. The -PassThru parameter is deprecated, use -Select '^AutoMLJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCandidatesForAutoMLJobListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryCmdlet"> <summary> Gets details about the specified Git repository. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryCmdlet.CodeRepositoryName"> <summary> <para> <para>The name of the Git repository to describe.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeCodeRepositoryResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeCodeRepositoryResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the CodeRepositoryName parameter. The -PassThru parameter is deprecated, use -Select '^CodeRepositoryName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet"> <summary> Gets a list of the Git repositories in your account.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only Git repositories that were created after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only Git repositories that were created before the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns only Git repositories that were last modified after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns only Git repositories that were last modified before the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.NameContain"> <summary> <para> <para>A string in the Git repositories name. This filter returns only repositories whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>Name</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of Git repositories to return in the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.NextToken"> <summary> <para> <para>If the result of a <code>ListCodeRepositoriesOutput</code> request was truncated, the response includes a <code>NextToken</code>. To get the next set of Git repositories, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'CodeRepositorySummaryList'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListCodeRepositoriesResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListCodeRepositoriesResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCodeRepositoryListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobCmdlet"> <summary> Returns information about a model compilation job. <para> To create a model compilation job, use <a>CreateCompilationJob</a>. To get information about multiple model compilation jobs, use <a>ListCompilationJobs</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobCmdlet.CompilationJobName"> <summary> <para> <para>The name of the model compilation job that you want information about.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeCompilationJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeCompilationJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the CompilationJobName parameter. The -PassThru parameter is deprecated, use -Select '^CompilationJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet"> <summary> Lists model compilation jobs that satisfy various filters. <para> To create a model compilation job, use <a>CreateCompilationJob</a>. To get information about a particular model compilation job you have created, use <a>DescribeCompilationJob</a>. </para><br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns the model compilation jobs that were created after a specified time. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns the model compilation jobs that were created before a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns the model compilation jobs that were modified after a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns the model compilation jobs that were modified before a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.NameContain"> <summary> <para> <para>A filter that returns the model compilation jobs whose name contains a specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.SortBy"> <summary> <para> <para>The field by which to sort results. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.StatusEqual"> <summary> <para> <para>A filter that retrieves model compilation jobs with a specific <a>DescribeCompilationJobResponse$CompilationJobStatus</a> status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of model compilation jobs to return in the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListCompilationJobs</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of model compilation jobs, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'CompilationJobSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListCompilationJobsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListCompilationJobsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NameContain parameter. The -PassThru parameter is deprecated, use -Select '^NameContain' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMCompilationJobListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMConfigListCmdlet"> <summary> Lists endpoint configurations.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMConfigListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only endpoint configurations with a creation time greater than or equal to the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMConfigListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only endpoint configurations created before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMConfigListCmdlet.NameContain"> <summary> <para> <para>A string in the endpoint configuration name. This filter returns only endpoint configurations whose name contains the specified string. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMConfigListCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMConfigListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Descending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMConfigListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of training jobs to return in the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMConfigListCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListEndpointConfig</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of endpoint configurations, use the token in the next request. </para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMConfigListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'EndpointConfigs'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListEndpointConfigsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListEndpointConfigsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMConfigListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMDomainCmdlet"> <summary> The description of the domain. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMDomainCmdlet.DomainId"> <summary> <para> <para>The domain ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMDomainCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeDomainResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeDomainResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMDomainCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the DomainId parameter. The -PassThru parameter is deprecated, use -Select '^DomainId' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMDomainListCmdlet"> <summary> Lists the domains.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMDomainListCmdlet.MaxResult"> <summary> <para> <para>Returns a list up to a specified limit.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMDomainListCmdlet.NextToken"> <summary> <para> <para>If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMDomainListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Domains'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListDomainsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListDomainsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMDomainListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointCmdlet"> <summary> Returns the description of an endpoint. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointCmdlet.EndpointName"> <summary> <para> <para>The name of the endpoint.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeEndpointResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeEndpointResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the EndpointName parameter. The -PassThru parameter is deprecated, use -Select '^EndpointName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointConfigCmdlet"> <summary> Returns the description of an endpoint configuration created using the <code>CreateEndpointConfig</code> API. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointConfigCmdlet.EndpointConfigName"> <summary> <para> <para>The name of the endpoint configuration.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointConfigCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeEndpointConfigResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeEndpointConfigResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointConfigCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the EndpointConfigName parameter. The -PassThru parameter is deprecated, use -Select '^EndpointConfigName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet"> <summary> Lists endpoints.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only endpoints with a creation time greater than or equal to the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only endpoints that were created before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para> A filter that returns only endpoints that were modified after the specified timestamp. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para> A filter that returns only endpoints that were modified before the specified timestamp. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.NameContain"> <summary> <para> <para>A string in endpoint names. This filter returns only endpoints whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.SortBy"> <summary> <para> <para>Sorts the list of results. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Descending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.StatusEqual"> <summary> <para> <para> A filter that returns only endpoints with the specified status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of endpoints to return in the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.NextToken"> <summary> <para> <para>If the result of a <code>ListEndpoints</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of endpoints, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Endpoints'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListEndpointsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListEndpointsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMEndpointListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentCmdlet"> <summary> Provides a list of an experiment's properties. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentCmdlet.ExperimentName"> <summary> <para> <para>The name of the experiment to describe.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeExperimentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeExperimentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ExperimentName parameter. The -PassThru parameter is deprecated, use -Select '^ExperimentName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentListCmdlet"> <summary> Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentListCmdlet.CreatedAfter"> <summary> <para> <para>A filter that returns only experiments created after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentListCmdlet.CreatedBefore"> <summary> <para> <para>A filter that returns only experiments created before the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentListCmdlet.SortBy"> <summary> <para> <para>The property used to sort results. The default value is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentListCmdlet.SortOrder"> <summary> <para> <para>The sort order. The default value is <code>Descending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of experiments to return in the response. The default value is 10.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentListCmdlet.NextToken"> <summary> <para> <para>If the previous call to <code>ListExperiments</code> didn't return the full set of experiments, the call returns a token for getting the next set of experiments.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'ExperimentSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListExperimentsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListExperimentsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMExperimentListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionCmdlet"> <summary> Returns information about the specified flow definition. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionCmdlet.FlowDefinitionName"> <summary> <para> <para>The name of the flow definition.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeFlowDefinitionResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeFlowDefinitionResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the FlowDefinitionName parameter. The -PassThru parameter is deprecated, use -Select '^FlowDefinitionName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionListCmdlet"> <summary> Returns information about the flow definitions in your account.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only flow definitions with a creation time greater than or equal to the specified timestamp.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only flow definitions that were created before the specified timestamp.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionListCmdlet.SortOrder"> <summary> <para> <para>An optional value that specifies whether you want the results sorted in <code>Ascending</code> or <code>Descending</code> order.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionListCmdlet.MaxResult"> <summary> <para> <para>The total number of items to return. If the total number of available items is more than the value specified in <code>MaxResults</code>, then a <code>NextToken</code> will be provided in the output that you can use to resume pagination.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionListCmdlet.NextToken"> <summary> <para> <para>A token to resume pagination.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'FlowDefinitionSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListFlowDefinitionsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListFlowDefinitionsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMFlowDefinitionListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiCmdlet"> <summary> Returns information about the requested human task user interface (worker task template). </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiCmdlet.HumanTaskUiName"> <summary> <para> <para>The name of the human task user interface (worker task template) you want information about.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeHumanTaskUiResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeHumanTaskUiResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the HumanTaskUiName parameter. The -PassThru parameter is deprecated, use -Select '^HumanTaskUiName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiListCmdlet"> <summary> Returns information about the human task user interfaces in your account.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only human task user interfaces with a creation time greater than or equal to the specified timestamp.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only human task user interfaces that were created before the specified timestamp.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiListCmdlet.SortOrder"> <summary> <para> <para>An optional value that specifies whether you want the results sorted in <code>Ascending</code> or <code>Descending</code> order.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiListCmdlet.MaxResult"> <summary> <para> <para>The total number of items to return. If the total number of available items is more than the value specified in <code>MaxResults</code>, then a <code>NextToken</code> will be provided in the output that you can use to resume pagination.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiListCmdlet.NextToken"> <summary> <para> <para>A token to resume pagination.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'HumanTaskUiSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListHumanTaskUisResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListHumanTaskUisResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHumanTaskUiListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobCmdlet"> <summary> Gets a description of a hyperparameter tuning job. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobCmdlet.HyperParameterTuningJobName"> <summary> <para> <para>The name of the tuning job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeHyperParameterTuningJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeHyperParameterTuningJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the HyperParameterTuningJobName parameter. The -PassThru parameter is deprecated, use -Select '^HyperParameterTuningJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet"> <summary> Gets a list of <a>HyperParameterTuningJobSummary</a> objects that describe the hyperparameter tuning jobs launched in your account.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only tuning jobs that were created after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only tuning jobs that were created before the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns only tuning jobs that were modified after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns only tuning jobs that were modified before the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.NameContain"> <summary> <para> <para>A string in the tuning job name. This filter returns only tuning jobs whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>Name</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.StatusEqual"> <summary> <para> <para>A filter that returns only tuning jobs with the specified status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of tuning jobs to return. The default value is 10.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListHyperParameterTuningJobs</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of tuning jobs, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'HyperParameterTuningJobSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListHyperParameterTuningJobsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListHyperParameterTuningJobsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMHyperParameterTuningJobListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobCmdlet"> <summary> Gets information about a labeling job. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobCmdlet.LabelingJobName"> <summary> <para> <para>The name of the labeling job to return information for.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeLabelingJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeLabelingJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the LabelingJobName parameter. The -PassThru parameter is deprecated, use -Select '^LabelingJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet"> <summary> Gets a list of labeling jobs.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only labeling jobs created after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only labeling jobs created before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns only labeling jobs modified after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns only labeling jobs modified before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.NameContain"> <summary> <para> <para>A string in the labeling job name. This filter returns only labeling jobs whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.StatusEqual"> <summary> <para> <para>A filter that retrieves only labeling jobs with a specific status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of labeling jobs to return in each page of the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListLabelingJobs</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of labeling jobs, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'LabelingJobSummaryList'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListLabelingJobsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListLabelingJobsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NameContain parameter. The -PassThru parameter is deprecated, use -Select '^NameContain' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet"> <summary> Gets a list of labeling jobs assigned to a specified work team.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only labeling jobs created after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only labeling jobs created before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.JobReferenceCodeContain"> <summary> <para> <para>A filter the limits jobs to only the ones whose job reference code contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.WorkteamArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.MaxResult"> <summary> <para> <para>The maximum number of labeling jobs to return in each page of the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListLabelingJobsForWorkteam</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of labeling jobs, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'LabelingJobSummaryList'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListLabelingJobsForWorkteamResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListLabelingJobsForWorkteamResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the WorkteamArn parameter. The -PassThru parameter is deprecated, use -Select '^WorkteamArn' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMLabelingJobListForWorkteamCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMModelCmdlet"> <summary> Describes a model that you created using the <code>CreateModel</code> API. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelCmdlet.ModelName"> <summary> <para> <para>The name of the model.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeModelResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ModelName parameter. The -PassThru parameter is deprecated, use -Select '^ModelName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMModelListCmdlet"> <summary> Lists models created with the <a>CreateModel</a> API.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only models created before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelListCmdlet.NameContain"> <summary> <para> <para>A string in the training job name. This filter returns only models in the training job whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelListCmdlet.SortBy"> <summary> <para> <para>Sorts the list of results. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Descending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of models to return in the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelListCmdlet.NextToken"> <summary> <para> <para>If the response to a previous <code>ListModels</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of models, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Models'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListModelsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListModelsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageCmdlet"> <summary> Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace. <para> To create models in Amazon SageMaker, buyers can subscribe to model packages listed on AWS Marketplace. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageCmdlet.ModelPackageName"> <summary> <para> <para>The name of the model package to describe.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeModelPackageResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeModelPackageResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ModelPackageName parameter. The -PassThru parameter is deprecated, use -Select '^ModelPackageName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet"> <summary> Lists the model packages that have been created.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only model packages created after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only model packages created before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet.NameContain"> <summary> <para> <para>A string in the model package name. This filter returns only model packages whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet.SortBy"> <summary> <para> <para>The parameter by which to sort the results. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet.SortOrder"> <summary> <para> <para>The sort order for the results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of model packages to return in the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet.NextToken"> <summary> <para> <para>If the response to a previous <code>ListModelPackages</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of model packages, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'ModelPackageSummaryList'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListModelPackagesResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListModelPackagesResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NameContain parameter. The -PassThru parameter is deprecated, use -Select '^NameContain' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMModelPackageListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet"> <summary> Returns list of all monitoring job executions.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only jobs created after a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only jobs created before a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.EndpointName"> <summary> <para> <para>Name of a specific endpoint to fetch jobs for.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns only jobs modified before a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns only jobs modified after a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.MonitoringScheduleName"> <summary> <para> <para>Name of a specific schedule to fetch jobs for.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.ScheduledTimeAfter"> <summary> <para> <para>Filter for jobs scheduled after a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.ScheduledTimeBefore"> <summary> <para> <para>Filter for jobs scheduled before a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.SortBy"> <summary> <para> <para>Whether to sort results by <code>Status</code>, <code>CreationTime</code>, <code>ScheduledTime</code> field. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.SortOrder"> <summary> <para> <para>Whether to sort the results in <code>Ascending</code> or <code>Descending</code> order. The default is <code>Descending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.StatusEqual"> <summary> <para> <para>A filter that retrieves only jobs with a specific status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of jobs to return in the response. The default value is 10.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.NextToken"> <summary> <para> <para>The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'MonitoringExecutionSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListMonitoringExecutionsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListMonitoringExecutionsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringExecutionListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleCmdlet"> <summary> Describes the schedule for a monitoring job. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleCmdlet.MonitoringScheduleName"> <summary> <para> <para>Name of a previously created monitoring schedule.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeMonitoringScheduleResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeMonitoringScheduleResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the MonitoringScheduleName parameter. The -PassThru parameter is deprecated, use -Select '^MonitoringScheduleName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet"> <summary> Returns list of all monitoring schedules.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only monitoring schedules created after a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only monitoring schedules created before a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.EndpointName"> <summary> <para> <para>Name of a specific endpoint to fetch schedules for.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns only monitoring schedules modified after a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns only monitoring schedules modified before a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.NameContain"> <summary> <para> <para>Filter for monitoring schedules whose name contains a specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.SortBy"> <summary> <para> <para>Whether to sort results by <code>Status</code>, <code>CreationTime</code>, <code>ScheduledTime</code> field. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.SortOrder"> <summary> <para> <para>Whether to sort the results in <code>Ascending</code> or <code>Descending</code> order. The default is <code>Descending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.StatusEqual"> <summary> <para> <para>A filter that returns only monitoring schedules modified before a specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of jobs to return in the response. The default value is 10.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.NextToken"> <summary> <para> <para>The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'MonitoringScheduleSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListMonitoringSchedulesResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListMonitoringSchedulesResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMMonitoringScheduleListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceCmdlet"> <summary> Returns information about a notebook instance. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceCmdlet.NotebookInstanceName"> <summary> <para> <para>The name of the notebook instance that you want information about.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeNotebookInstanceResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeNotebookInstanceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigCmdlet"> <summary> Returns a description of a notebook instance lifecycle configuration. <para> For information about notebook instance lifestyle configurations, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html">Step 2.1: (Optional) Customize a Notebook Instance</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigCmdlet.NotebookInstanceLifecycleConfigName"> <summary> <para> <para>The name of the lifecycle configuration to describe.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeNotebookInstanceLifecycleConfigResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeNotebookInstanceLifecycleConfigResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceLifecycleConfigName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceLifecycleConfigName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet"> <summary> Lists notebook instance lifestyle configurations created with the <a>CreateNotebookInstanceLifecycleConfig</a> API.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only lifecycle configurations that were created after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only lifecycle configurations that were created before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.NameContain"> <summary> <para> <para>A string in the lifecycle configuration name. This filter returns only lifecycle configurations whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.SortBy"> <summary> <para> <para>Sorts the list of results. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of lifecycle configurations to return in the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.NextToken"> <summary> <para> <para>If the result of a <code>ListNotebookInstanceLifecycleConfigs</code> request was truncated, the response includes a <code>NextToken</code>. To get the next set of lifecycle configurations, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'NotebookInstanceLifecycleConfigs'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListNotebookInstanceLifecycleConfigsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListNotebookInstanceLifecycleConfigsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceLifecycleConfigListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet"> <summary> Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.AdditionalCodeRepositoryEqual"> <summary> <para> <para>A filter that returns only notebook instances with associated with the specified git repository.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only notebook instances that were created after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only notebook instances that were created before the specified time (timestamp). </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.DefaultCodeRepositoryContain"> <summary> <para> <para>A string in the name or URL of a Git repository associated with this notebook instance. This filter returns only notebook instances associated with a git repository with a name that contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns only notebook instances that were modified after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns only notebook instances that were modified before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.NameContain"> <summary> <para> <para>A string in the notebook instances' name. This filter returns only notebook instances whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.NotebookInstanceLifecycleConfigNameContain"> <summary> <para> <para>A string in the name of a notebook instances lifecycle configuration associated with this notebook instance. This filter returns only notebook instances associated with a lifecycle configuration with a name that contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>Name</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.StatusEqual"> <summary> <para> <para>A filter that returns only notebook instances with the specified status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of notebook instances to return.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.NextToken"> <summary> <para> <para> If the previous call to the <code>ListNotebookInstances</code> is truncated, the response includes a <code>NextToken</code>. You can use this token in your subsequent <code>ListNotebookInstances</code> request to fetch the next set of notebook instances. </para><note><para>You might specify a filter or a sort order in your request. When response is truncated, you must use the same values for the filer and sort order in the next request. </para></note> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'NotebookInstances'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListNotebookInstancesResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListNotebookInstancesResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMNotebookInstanceListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobCmdlet"> <summary> Returns a description of a processing job. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobCmdlet.ProcessingJobName"> <summary> <para> <para>The name of the processing job. The name must be unique within an AWS Region in the AWS account.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeProcessingJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeProcessingJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ProcessingJobName parameter. The -PassThru parameter is deprecated, use -Select '^ProcessingJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet"> <summary> Lists processing jobs that satisfy various filters.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only processing jobs created after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only processing jobs created after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns only processing jobs modified after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns only processing jobs modified before the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.NameContain"> <summary> <para> <para>A string in the processing job name. This filter returns only processing jobs whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.StatusEqual"> <summary> <para> <para>A filter that retrieves only processing jobs with a specific status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of processing jobs to return in the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListProcessingJobs</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of processing jobs, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'ProcessingJobSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListProcessingJobsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListProcessingJobsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMProcessingJobListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMResourceTagListCmdlet"> <summary> Returns the tags for the specified Amazon SageMaker resource.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMResourceTagListCmdlet.ResourceArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMResourceTagListCmdlet.MaxResult"> <summary> <para> <para>Maximum number of tags to return.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMResourceTagListCmdlet.NextToken"> <summary> <para> <para> If the response to the previous <code>ListTags</code> request is truncated, Amazon SageMaker returns this token. To retrieve the next set of tags, use it in the subsequent request. </para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMResourceTagListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Tags'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListTagsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListTagsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMResourceTagListCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ResourceArn parameter. The -PassThru parameter is deprecated, use -Select '^ResourceArn' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMResourceTagListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMSearchSuggestionCmdlet"> <summary> An auto-complete API for the search functionality in the Amazon SageMaker console. It returns suggestions of possible matches for the property name to use in <code>Search</code> queries. Provides suggestions for <code>HyperParameters</code>, <code>Tags</code>, and <code>Metrics</code>. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSearchSuggestionCmdlet.PropertyNameQuery_PropertyNameHint"> <summary> <para> <para>Text that begins a property's name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSearchSuggestionCmdlet.Resource"> <summary> <para> <para>The name of the Amazon SageMaker resource to search for.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSearchSuggestionCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'PropertyNameSuggestions'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.GetSearchSuggestionsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.GetSearchSuggestionsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSearchSuggestionCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the Resource parameter. The -PassThru parameter is deprecated, use -Select '^Resource' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamCmdlet"> <summary> Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the AWS Marketplace. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamCmdlet.WorkteamArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the subscribed work team to describe.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'SubscribedWorkteam'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeSubscribedWorkteamResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeSubscribedWorkteamResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the WorkteamArn parameter. The -PassThru parameter is deprecated, use -Select '^WorkteamArn' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamListCmdlet"> <summary> Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work team satisfies the filter specified in the <code>NameContains</code> parameter.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamListCmdlet.NameContain"> <summary> <para> <para>A string in the work team name. This filter returns only work teams whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of work teams to return in each page of the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamListCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListSubscribedWorkteams</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of labeling jobs, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'SubscribedWorkteams'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListSubscribedWorkteamsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListSubscribedWorkteamsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamListCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NameContain parameter. The -PassThru parameter is deprecated, use -Select '^NameContain' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMSubscribedWorkteamListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobCmdlet"> <summary> Returns information about a training job. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobCmdlet.TrainingJobName"> <summary> <para> <para>The name of the training job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeTrainingJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeTrainingJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrainingJobName parameter. The -PassThru parameter is deprecated, use -Select '^TrainingJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet"> <summary> Lists training jobs.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only training jobs created after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only training jobs created before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns only training jobs modified after the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns only training jobs modified before the specified time (timestamp).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.NameContain"> <summary> <para> <para>A string in the training job name. This filter returns only training jobs whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.StatusEqual"> <summary> <para> <para>A filter that retrieves only training jobs with a specific status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of training jobs to return in the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListTrainingJobs</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of training jobs, use the token in the next request. </para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrainingJobSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListTrainingJobsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListTrainingJobsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobsForHyperParameterTuningJobListCmdlet"> <summary> Gets a list of <a>TrainingJobSummary</a> objects that describe the training jobs that a hyperparameter tuning job launched.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobsForHyperParameterTuningJobListCmdlet.HyperParameterTuningJobName"> <summary> <para> <para>The name of the tuning job whose training jobs you want to list.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobsForHyperParameterTuningJobListCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>Name</code>.</para><para>If the value of this field is <code>FinalObjectiveMetricValue</code>, any training jobs that did not return an objective metric are not listed.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobsForHyperParameterTuningJobListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobsForHyperParameterTuningJobListCmdlet.StatusEqual"> <summary> <para> <para>A filter that returns only training jobs with the specified status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobsForHyperParameterTuningJobListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of training jobs to return. The default value is 10.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobsForHyperParameterTuningJobListCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListTrainingJobsForHyperParameterTuningJob</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of training jobs, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobsForHyperParameterTuningJobListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrainingJobSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListTrainingJobsForHyperParameterTuningJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListTrainingJobsForHyperParameterTuningJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobsForHyperParameterTuningJobListCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the HyperParameterTuningJobName parameter. The -PassThru parameter is deprecated, use -Select '^HyperParameterTuningJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrainingJobsForHyperParameterTuningJobListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobCmdlet"> <summary> Returns information about a transform job. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobCmdlet.TransformJobName"> <summary> <para> <para>The name of the transform job that you want to view details of.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeTransformJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeTransformJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TransformJobName parameter. The -PassThru parameter is deprecated, use -Select '^TransformJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet"> <summary> Lists transform jobs.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.CreationTimeAfter"> <summary> <para> <para>A filter that returns only transform jobs created after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.CreationTimeBefore"> <summary> <para> <para>A filter that returns only transform jobs created before the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.LastModifiedTimeAfter"> <summary> <para> <para>A filter that returns only transform jobs modified after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.LastModifiedTimeBefore"> <summary> <para> <para>A filter that returns only transform jobs modified before the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.NameContain"> <summary> <para> <para>A string in the transform job name. This filter returns only transform jobs whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Descending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.StatusEqual"> <summary> <para> <para>A filter that retrieves only transform jobs with a specific status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of transform jobs to return in the response. The default value is <code>10</code>.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListTransformJobs</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of transform jobs, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TransformJobSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListTransformJobsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListTransformJobsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTransformJobListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMTrialCmdlet"> <summary> Provides a list of a trial's properties. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialCmdlet.TrialName"> <summary> <para> <para>The name of the trial to describe.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeTrialResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeTrialResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrialName parameter. The -PassThru parameter is deprecated, use -Select '^TrialName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentCmdlet"> <summary> Provides a list of a trials component's properties. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentCmdlet.TrialComponentName"> <summary> <para> <para>The name of the trial component to describe.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeTrialComponentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeTrialComponentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrialComponentName parameter. The -PassThru parameter is deprecated, use -Select '^TrialComponentName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet"> <summary> Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following: <ul><li><para><code>ExperimentName</code></para></li><li><para><code>SourceArn</code></para></li><li><para><code>TrialName</code></para></li></ul><br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.CreatedAfter"> <summary> <para> <para>A filter that returns only components created after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.CreatedBefore"> <summary> <para> <para>A filter that returns only components created before the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.ExperimentName"> <summary> <para> <para>A filter that returns only components that are part of the specified experiment. If you specify <code>ExperimentName</code>, you can't filter by <code>SourceArn</code> or <code>TrialName</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.SortBy"> <summary> <para> <para>The property used to sort results. The default value is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.SortOrder"> <summary> <para> <para>The sort order. The default value is <code>Descending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.SourceArn"> <summary> <para> <para>A filter that returns only components that have the specified source Amazon Resource Name (ARN). If you specify <code>SourceArn</code>, you can't filter by <code>ExperimentName</code> or <code>TrialName</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.TrialName"> <summary> <para> <para>A filter that returns only components that are part of the specified trial. If you specify <code>TrialName</code>, you can't filter by <code>ExperimentName</code> or <code>SourceArn</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of components to return in the response. The default value is 10.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.NextToken"> <summary> <para> <para>If the previous call to <code>ListTrialComponents</code> didn't return the full set of components, the call returns a token for getting the next set of components.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrialComponentSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListTrialComponentsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListTrialComponentsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialComponentListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet"> <summary> Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet.CreatedAfter"> <summary> <para> <para>A filter that returns only trials created after the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet.CreatedBefore"> <summary> <para> <para>A filter that returns only trials created before the specified time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet.ExperimentName"> <summary> <para> <para>A filter that returns only trials that are part of the specified experiment.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet.SortBy"> <summary> <para> <para>The property used to sort results. The default value is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet.SortOrder"> <summary> <para> <para>The sort order. The default value is <code>Descending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet.TrialComponentName"> <summary> <para> <para>A filter that returns only trials that are associated with the specified trial component.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of trials to return in the response. The default value is 10.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet.NextToken"> <summary> <para> <para>If the previous call to <code>ListTrials</code> didn't return the full set of trials, the call returns a token for getting the next set of trials.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrialSummaries'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListTrialsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListTrialsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMTrialListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileCmdlet"> <summary> Describes a user profile. For more information, see <code>CreateUserProfile</code>. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileCmdlet.DomainId"> <summary> <para> <para>The domain ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileCmdlet.UserProfileName"> <summary> <para> <para>The user profile name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeUserProfileResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeUserProfileResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the UserProfileName parameter. The -PassThru parameter is deprecated, use -Select '^UserProfileName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileListCmdlet"> <summary> Lists user profiles.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileListCmdlet.DomainIdEqual"> <summary> <para> <para>A parameter by which to filter the results.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileListCmdlet.SortBy"> <summary> <para> <para>The parameter by which to sort the results. The default is CreationTime.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileListCmdlet.SortOrder"> <summary> <para> <para>The sort order for the results. The default is Ascending.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileListCmdlet.UserProfileNameContain"> <summary> <para> <para>A parameter by which to filter the results.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileListCmdlet.MaxResult"> <summary> <para> <para>Returns a list up to a specified limit.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileListCmdlet.NextToken"> <summary> <para> <para>If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'UserProfiles'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListUserProfilesResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListUserProfilesResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMUserProfileListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceCmdlet"> <summary> Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (<a href="https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html">CIDRs</a>). Allowable IP address ranges are the IP addresses that workers can use to access tasks. <important><para> This operation applies only to private workforces. </para></important> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceCmdlet.WorkforceName"> <summary> <para> <para>The name of the private workforce whose access you want to restrict. <code>WorkforceName</code> is automatically set to <code>default</code> when a workforce is created and cannot be modified. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Workforce'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeWorkforceResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeWorkforceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the WorkforceName parameter. The -PassThru parameter is deprecated, use -Select '^WorkforceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceListCmdlet"> <summary> Use this operation to list all private and vendor workforces in an AWS Region. Note that you can only have one private workforce per AWS Region.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceListCmdlet.NameContain"> <summary> <para> <para>A filter you can use to search for workforces using part of the workforce name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceListCmdlet.SortBy"> <summary> <para> <para>Sort workforces using the workforce name or creation date.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceListCmdlet.SortOrder"> <summary> <para> <para>Sort workforces in ascending or descending order.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of workforces returned in the response.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceListCmdlet.NextToken"> <summary> <para> <para>A token to resume pagination.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Workforces'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListWorkforcesResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListWorkforcesResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkforceListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamCmdlet"> <summary> Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN). </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamCmdlet.WorkteamName"> <summary> <para> <para>The name of the work team to return a description of.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Workteam'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DescribeWorkteamResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DescribeWorkteamResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the WorkteamName parameter. The -PassThru parameter is deprecated, use -Select '^WorkteamName' instead. This parameter will be removed in a future version. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamListCmdlet"> <summary> Gets a list of private work teams that you have defined in a region. The list may be empty if no work team satisfies the filter specified in the <code>NameContains</code> parameter.<br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamListCmdlet.NameContain"> <summary> <para> <para>A string in the work team's name. This filter returns only work teams whose name contains the specified string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamListCmdlet.SortBy"> <summary> <para> <para>The field to sort results by. The default is <code>CreationTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamListCmdlet.SortOrder"> <summary> <para> <para>The sort order for results. The default is <code>Ascending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamListCmdlet.MaxResult"> <summary> <para> <para>The maximum number of work teams to return in each page of the response.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamListCmdlet.NextToken"> <summary> <para> <para>If the result of the previous <code>ListWorkteams</code> request was truncated, the response includes a <code>NextToken</code>. To retrieve the next set of labeling jobs, use the token in the next request.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamListCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Workteams'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.ListWorkteamsResponse). Specifying the name of a property of type Amazon.SageMaker.Model.ListWorkteamsResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.GetSMWorkteamListCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.InvokeSMUiTemplateRenderingCmdlet"> <summary> Renders the UI template so that you can preview the worker's experience. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.InvokeSMUiTemplateRenderingCmdlet.UiTemplate_Content"> <summary> <para> <para>The content of the Liquid template for the worker user interface.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.InvokeSMUiTemplateRenderingCmdlet.HumanTaskUiArn"> <summary> <para> <para>The <code>HumanTaskUiArn</code> of the worker UI that you want to render. Do not provide a <code>HumanTaskUiArn</code> if you use the <code>UiTemplate</code> parameter.</para><para>See a list of available Human Ui Amazon Resource Names (ARNs) in <a>UiConfig</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.InvokeSMUiTemplateRenderingCmdlet.Task_Input"> <summary> <para> <para>A JSON object that contains values for the variables defined in the template. It is made available to the template under the substitution variable <code>task.input</code>. For example, if you define a variable <code>task.input.text</code> in your template, you can supply the variable in the JSON object as <code>"text": "sample text"</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.InvokeSMUiTemplateRenderingCmdlet.RoleArn"> <summary> <para> <para>The Amazon Resource Name (ARN) that has access to the S3 objects that are used by the template.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.InvokeSMUiTemplateRenderingCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.RenderUiTemplateResponse). Specifying the name of a property of type Amazon.SageMaker.Model.RenderUiTemplateResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.InvokeSMUiTemplateRenderingCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the UiTemplate_Content parameter. The -PassThru parameter is deprecated, use -Select '^UiTemplate_Content' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.InvokeSMUiTemplateRenderingCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet"> <summary> Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.AlgorithmDescription"> <summary> <para> <para>A description of the algorithm.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.AlgorithmName"> <summary> <para> <para>The name of the algorithm.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.CertifyForMarketplace"> <summary> <para> <para>Whether to certify the algorithm so that it can be listed in AWS Marketplace.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.InferenceSpecification_Container"> <summary> <para> <para>The Amazon ECR registry path of the Docker image that contains the inference code.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.TrainingSpecification_MetricDefinition"> <summary> <para> <para>A list of <code>MetricDefinition</code> objects, which are used for parsing metrics generated by the algorithm.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.InferenceSpecification_SupportedContentType"> <summary> <para> <para>The supported MIME types for the input data.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.TrainingSpecification_SupportedHyperParameter"> <summary> <para> <para>A list of the <code>HyperParameterSpecification</code> objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.></para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.InferenceSpecification_SupportedRealtimeInferenceInstanceType"> <summary> <para> <para>A list of the instance types that are used to generate inferences in real-time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.InferenceSpecification_SupportedResponseMIMEType"> <summary> <para> <para>The supported MIME types for the output data.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.TrainingSpecification_SupportedTrainingInstanceType"> <summary> <para> <para>A list of the instance types that this algorithm can use for training.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.InferenceSpecification_SupportedTransformInstanceType"> <summary> <para> <para>A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.TrainingSpecification_SupportedTuningJobObjectiveMetric"> <summary> <para> <para>A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.TrainingSpecification_SupportsDistributedTraining"> <summary> <para> <para>Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.TrainingSpecification_TrainingChannel"> <summary> <para> <para>A list of <code>ChannelSpecification</code> objects, which specify the input sources to be used by the algorithm.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.TrainingSpecification_TrainingImage"> <summary> <para> <para>The Amazon ECR registry path of the Docker image that contains the training algorithm.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.TrainingSpecification_TrainingImageDigest"> <summary> <para> <para>An MD5 hash of the training algorithm that identifies the Docker image used for training.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.ValidationSpecification_ValidationProfile"> <summary> <para> <para>An array of <code>AlgorithmValidationProfile</code> objects, each of which specifies a training job and batch transform job that Amazon SageMaker runs to validate your algorithm.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.ValidationSpecification_ValidationRole"> <summary> <para> <para>The IAM roles that Amazon SageMaker uses to run the training jobs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'AlgorithmArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateAlgorithmResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateAlgorithmResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the AlgorithmName parameter. The -PassThru parameter is deprecated, use -Select '^AlgorithmName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAlgorithmCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet"> <summary> Creates a running App for the specified UserProfile. Supported Apps are JupyterServer and KernelGateway. This operation is automatically invoked by Amazon SageMaker Studio upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet.AppName"> <summary> <para> <para>The name of the app.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet.AppType"> <summary> <para> <para>The type of app.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet.DomainId"> <summary> <para> <para>The domain ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet.ResourceSpec_InstanceType"> <summary> <para> <para>The instance type.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet.ResourceSpec_SageMakerImageArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the SageMaker image created on the instance.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet.Tag"> <summary> <para> <para>Each tag consists of a key and an optional value. Tag keys must be unique per resource.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet.UserProfileName"> <summary> <para> <para>The user profile name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'AppArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateAppResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateAppResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the AppName parameter. The -PassThru parameter is deprecated, use -Select '^AppName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAppCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet"> <summary> Creates an Autopilot job. <para> Find the best performing model after you run an Autopilot job by calling . Deploy that model by following the steps described in <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-deploy-model.html">Step 6.1: Deploy the Model to Amazon SageMaker Hosting Services</a>. </para><para> For information about how to use Autopilot, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html"> Automate Model Development with Amazon SageMaker Autopilot</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.AutoMLJobName"> <summary> <para> <para>Identifies an Autopilot job. Must be unique to your account and is case-insensitive.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.SecurityConfig_EnableInterContainerTrafficEncryption"> <summary> <para> <para>Whether to use traffic encryption between the container layers.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.GenerateCandidateDefinitionsOnly"> <summary> <para> <para>Generates possible candidates without training a model. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.InputDataConfig"> <summary> <para> <para>Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 500 rows.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.OutputDataConfig_KmsKeyId"> <summary> <para> <para>The AWS KMS encryption key ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.CompletionCriteria_MaxAutoMLJobRuntimeInSecond"> <summary> <para> <para>The maximum time, in seconds, an AutoML job is allowed to wait for a trial to complete. It must be equal to or greater than MaxRuntimePerTrainingJobInSeconds.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.CompletionCriteria_MaxCandidate"> <summary> <para> <para>The maximum number of times a training job is allowed to run.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.CompletionCriteria_MaxRuntimePerTrainingJobInSecond"> <summary> <para> <para>The maximum time, in seconds, a job is allowed to run.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.AutoMLJobObjective_MetricName"> <summary> <para> <para>The name of the objective metric used to measure the predictive quality of a machine learning system. This metric is optimized during training to provide the best estimate for model parameter values from data.</para><para>Here are the options:</para><ul><li><para><code>MSE</code>: The mean squared error (MSE) is the average of the squared differences between the predicted and actual values. It is used for regression. MSE values are always positive, the better a model is at predicting the actual values the smaller the MSE value. When the data contains outliers, they tend to dominate the MSE which might cause subpar prediction performance.</para></li><li><para><code>Accuracy</code>: The ratio of the number correctly classified items to the total number (correctly and incorrectly) classified. It is used for binary and multiclass classification. Measures how close the predicted class values are to the actual values. Accuracy values vary between zero and one, one being perfect accuracy and zero perfect inaccuracy.</para></li><li><para><code>F1</code>: The F1 score is the harmonic mean of the precision and recall. It is used for binary classification into classes traditionally referred to as positive and negative. Predictions are said to be true when they match their actual (correct) class; false when they do not. Precision is the ratio of the true positive predictions to all positive predictions (including the false positives) in a data set and measures the quality of the prediction when it predicts the positive class. Recall (or sensitivity) is the ratio of the true positive predictions to all actual positive instances and measures how completely a model predicts the actual class members in a data set. The standard F1 score weighs precision and recall equally. But which metric is paramount typically depends on specific aspects of a problem. F1 scores vary between zero and one, one being the best possible performance and zero the worst.</para></li><li><para><code>AUC</code>: The area under the curve (AUC) metric is used to compare and evaluate binary classification by algorithms such as logistic regression that return probabilities. A threshold is needed to map the probabilities into classifications. The relevant curve is the receiver operating characteristic curve that plots the true positive rate (TPR) of predictions (or recall) against the false positive rate (FPR) as a function of the threshold value, above which a prediction is considered positive. Increasing the threshold results in fewer false positives but more false negatives. AUC is the area under this receiver operating characteristic curve and so provides an aggregated measure of the model performance across all possible classification thresholds. The AUC score can also be interpreted as the probability that a randomly selected positive data point is more likely to be predicted positive than a randomly selected negative example. AUC scores vary between zero and one, one being perfect accuracy and one half not better than a random classifier. Values less that one half predict worse than a random predictor and such consistently bad predictors can be inverted to obtain better than random predictors.</para></li><li><para><code>F1macro</code>: The F1macro score applies F1 scoring to multiclass classification. In this context, you have multiple classes to predict. You just calculate the precision and recall for each class as you did for the positive class in binary classification. Then used these values to calculate the F1 score for each class and average them to obtain the F1macro score. F1macro scores vary between zero and one, one being the best possible performance and zero the worst.</para></li></ul><para>If you do not specify a metric explicitly, the default behavior is to automatically use:</para><ul><li><para><code>MSE</code>: for regression.</para></li><li><para><code>F1</code>: for binary classification</para></li><li><para><code>Accuracy</code>: for multiclass classification.</para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.ProblemType"> <summary> <para> <para>Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.RoleArn"> <summary> <para> <para>The ARN of the role that is used to access the data.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.OutputDataConfig_S3OutputPath"> <summary> <para> <para>The Amazon S3 output path. Must be 128 characters or less.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.VpcConfig_SecurityGroupId"> <summary> <para> <para>The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the <code>Subnets</code> field.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.VpcConfig_Subnet"> <summary> <para> <para>The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/instance-types-az.html">Supported Instance Types and Availability Zones</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.Tag"> <summary> <para> <para>Each tag consists of a key and an optional value. Tag keys must be unique per resource.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.SecurityConfig_VolumeKmsKeyId"> <summary> <para> <para>The key used to encrypt stored data.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'AutoMLJobArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateAutoMLJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateAutoMLJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the AutoMLJobName parameter. The -PassThru parameter is deprecated, use -Select '^AutoMLJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMAutoMLJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMCodeRepositoryCmdlet"> <summary> Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with. <para> The repository can be hosted either in <a href="https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html">AWS CodeCommit</a> or in any other Git repository. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCodeRepositoryCmdlet.GitConfig_Branch"> <summary> <para> <para>The default branch for the Git repository.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCodeRepositoryCmdlet.CodeRepositoryName"> <summary> <para> <para>The name of the Git repository. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCodeRepositoryCmdlet.GitConfig_RepositoryUrl"> <summary> <para> <para>The URL where the Git repository is located.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCodeRepositoryCmdlet.GitConfig_SecretArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of <code>AWSCURRENT</code> and must be in the following format:</para><para><code>{"username": <i>UserName</i>, "password": <i>Password</i>}</code></para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCodeRepositoryCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'CodeRepositoryArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateCodeRepositoryResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateCodeRepositoryResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCodeRepositoryCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the CodeRepositoryName parameter. The -PassThru parameter is deprecated, use -Select '^CodeRepositoryName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCodeRepositoryCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet"> <summary> Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify. <para> If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with AWS IoT Greengrass. In that case, deploy them as an ML resource. </para><para> In the request body, you provide the following: </para><ul><li><para> A name for the compilation job </para></li><li><para> Information about the input model artifacts </para></li><li><para> The output location for the compiled model and the device (target) that the model runs on </para></li><li><para> The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform the model compilation job. </para></li></ul><para> You can also provide a <code>Tag</code> to track the model compilation job's resource use and costs. The response body contains the <code>CompilationJobArn</code> for the compiled job. </para><para> To stop a model compilation job, use <a>StopCompilationJob</a>. To get information about a particular model compilation job, use <a>DescribeCompilationJob</a>. To get information about multiple model compilation jobs, use <a>ListCompilationJobs</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.TargetPlatform_Accelerator"> <summary> <para> <para>Specifies a target platform accelerator (optional).</para><ul><li><para><code>NVIDIA</code>: Nvidia graphics processing unit. It also requires <code>gpu-code</code>, <code>trt-ver</code>, <code>cuda-ver</code> compiler options</para></li><li><para><code>MALI</code>: ARM Mali graphics processor</para></li><li><para><code>INTEL_GRAPHICS</code>: Integrated Intel graphics</para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.TargetPlatform_Arch"> <summary> <para> <para>Specifies a target platform architecture.</para><ul><li><para><code>X86_64</code>: 64-bit version of the x86 instruction set.</para></li><li><para><code>X86</code>: 32-bit version of the x86 instruction set.</para></li><li><para><code>ARM64</code>: ARMv8 64-bit CPU.</para></li><li><para><code>ARM_EABIHF</code>: ARMv7 32-bit, Hard Float.</para></li><li><para><code>ARM_EABI</code>: ARMv7 32-bit, Soft Float. Used by Android 32-bit ARM platform.</para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.CompilationJobName"> <summary> <para> <para>A name for the model compilation job. The name must be unique within the AWS Region and within your AWS account. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.OutputConfig_CompilerOption"> <summary> <para> <para>Specifies additional parameters for compiler options in JSON format. The compiler options are <code>TargetPlatform</code> specific. It is required for NVIDIA accelerators and highly recommended for CPU compliations. For any other cases, it is optional to specify <code>CompilerOptions.</code></para><ul><li><para><code>CPU</code>: Compilation for CPU supports the following compiler options.</para><ul><li><para><code>mcpu</code>: CPU micro-architecture. For example, <code>{'mcpu': 'skylake-avx512'}</code></para></li><li><para><code>mattr</code>: CPU flags. For example, <code>{'mattr': ['+neon', '+vfpv4']}</code></para></li></ul></li><li><para><code>ARM</code>: Details of ARM CPU compilations.</para><ul><li><para><code>NEON</code>: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors.</para><para>For example, add <code>{'mattr': ['+neon']}</code> to the compiler options if compiling for ARM 32-bit platform with the NEON support.</para></li></ul></li><li><para><code>NVIDIA</code>: Compilation for NVIDIA GPU supports the following compiler options.</para><ul><li><para><code>gpu_code</code>: Specifies the targeted architecture.</para></li><li><para><code>trt-ver</code>: Specifies the TensorRT versions in x.y.z. format.</para></li><li><para><code>cuda-ver</code>: Specifies the CUDA version in x.y format.</para></li></ul><para>For example, <code>{'gpu-code': 'sm_72', 'trt-ver': '6.0.1', 'cuda-ver': '10.1'}</code></para></li><li><para><code>ANDROID</code>: Compilation for the Android OS supports the following compiler options:</para><ul><li><para><code>ANDROID_PLATFORM</code>: Specifies the Android API levels. Available levels range from 21 to 29. For example, <code>{'ANDROID_PLATFORM': 28}</code>.</para></li><li><para><code>mattr</code>: Add <code>{'mattr': ['+neon']}</code> to compiler options if compiling for ARM 32-bit platform with NEON support.</para></li></ul></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.InputConfig_DataInputConfig"> <summary> <para> <para>Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are <a>InputConfig$Framework</a> specific. </para><ul><li><para><code>TensorFlow</code>: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.</para><ul><li><para>Examples for one input:</para><ul><li><para>If using the console, <code>{"input":[1,1024,1024,3]}</code></para></li><li><para>If using the CLI, <code>{\"input\":[1,1024,1024,3]}</code></para></li></ul></li><li><para>Examples for two inputs:</para><ul><li><para>If using the console, <code>{"data1": [1,28,28,1], "data2":[1,28,28,1]}</code></para></li><li><para>If using the CLI, <code>{\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}</code></para></li></ul></li></ul></li><li><para><code>KERAS</code>: You must specify the name and shape (NCHW format) of expected data inputs using a dictionary format for your trained model. Note that while Keras model artifacts should be uploaded in NHWC (channel-last) format, <code>DataInputConfig</code> should be specified in NCHW (channel-first) format. The dictionary formats required for the console and CLI are different.</para><ul><li><para>Examples for one input:</para><ul><li><para>If using the console, <code>{"input_1":[1,3,224,224]}</code></para></li><li><para>If using the CLI, <code>{\"input_1\":[1,3,224,224]}</code></para></li></ul></li><li><para>Examples for two inputs:</para><ul><li><para>If using the console, <code>{"input_1": [1,3,224,224], "input_2":[1,3,224,224]} </code></para></li><li><para>If using the CLI, <code>{\"input_1\": [1,3,224,224], \"input_2\":[1,3,224,224]}</code></para></li></ul></li></ul></li><li><para><code>MXNET/ONNX</code>: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.</para><ul><li><para>Examples for one input:</para><ul><li><para>If using the console, <code>{"data":[1,3,1024,1024]}</code></para></li><li><para>If using the CLI, <code>{\"data\":[1,3,1024,1024]}</code></para></li></ul></li><li><para>Examples for two inputs:</para><ul><li><para>If using the console, <code>{"var1": [1,1,28,28], "var2":[1,1,28,28]} </code></para></li><li><para>If using the CLI, <code>{\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}</code></para></li></ul></li></ul></li><li><para><code>PyTorch</code>: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.</para><ul><li><para>Examples for one input in dictionary format:</para><ul><li><para>If using the console, <code>{"input0":[1,3,224,224]}</code></para></li><li><para>If using the CLI, <code>{\"input0\":[1,3,224,224]}</code></para></li></ul></li><li><para>Example for one input in list format: <code>[[1,3,224,224]]</code></para></li><li><para>Examples for two inputs in dictionary format:</para><ul><li><para>If using the console, <code>{"input0":[1,3,224,224], "input1":[1,3,224,224]}</code></para></li><li><para>If using the CLI, <code>{\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]} </code></para></li></ul></li><li><para>Example for two inputs in list format: <code>[[1,3,224,224], [1,3,224,224]]</code></para></li></ul></li><li><para><code>XGBOOST</code>: input data name and shape are not needed.</para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.InputConfig_Framework"> <summary> <para> <para>Identifies the framework in which the model was trained. For example: TENSORFLOW.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.StoppingCondition_MaxRuntimeInSecond"> <summary> <para> <para>The maximum length of time, in seconds, that the training or compilation job can run. If job does not complete during this time, Amazon SageMaker ends the job. If value is not specified, default value is 1 day. The maximum value is 28 days.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.StoppingCondition_MaxWaitTimeInSecond"> <summary> <para> <para>The maximum length of time, in seconds, how long you are willing to wait for a managed spot training job to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the training job runs. It must be equal to or greater than <code>MaxRuntimeInSeconds</code>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.TargetPlatform_Os"> <summary> <para> <para>Specifies a target platform OS.</para><ul><li><para><code>LINUX</code>: Linux-based operating systems.</para></li><li><para><code>ANDROID</code>: Android operating systems. Android API level can be specified using the <code>ANDROID_PLATFORM</code> compiler option. For example, <code>"CompilerOptions": {'ANDROID_PLATFORM': 28}</code></para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.RoleArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf. </para><para>During model compilation, Amazon SageMaker needs your permission to:</para><ul><li><para>Read input data from an S3 bucket</para></li><li><para>Write model artifacts to an S3 bucket</para></li><li><para>Write logs to Amazon CloudWatch Logs</para></li><li><para>Publish metrics to Amazon CloudWatch</para></li></ul><para>You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker, the caller of this API must have the <code>iam:PassRole</code> permission. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon SageMaker Roles.</a></para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.OutputConfig_S3OutputLocation"> <summary> <para> <para>Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts. For example, <code>s3://bucket-name/key-name-prefix</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.InputConfig_S3Uri"> <summary> <para> <para>The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.OutputConfig_TargetDevice"> <summary> <para> <para>Identifies the target device or the machine learning instance that you want to run your model on after the compilation has completed. Alternatively, you can specify OS, architecture, and accelerator using <a>TargetPlatform</a> fields. It can be used instead of <code>TargetPlatform</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'CompilationJobArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateCompilationJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateCompilationJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the CompilationJobName parameter. The -PassThru parameter is deprecated, use -Select '^CompilationJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMCompilationJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet"> <summary> Creates a <code>Domain</code> used by Amazon SageMaker Studio. A domain consists of an associated Amazon Elastic File System (EFS) volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. An AWS account is limited to one domain per region. Users within a domain can share notebook files and other artifacts with each other. <para> When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files. </para><para><b>VPC configuration</b></para><para> All SageMaker Studio traffic between the domain and the EFS volume is through the specified VPC and subnets. For other Studio traffic, you specify the <code>AppNetworkAccessType</code> parameter. <code>AppNetworkAccessType</code> corresponds to the VPC mode that's chosen when you onboard to Studio. The following options are available: </para><ul><li><para><code>PublicInternetOnly</code> - Non-EFS traffic goes through a VPC managed by Amazon SageMaker, which allows internet access. This is the default value. </para></li><li><para><code>VpcOnly</code> - All Studio traffic is through the specified VPC and subnets. Internet access is disabled by default. To allow internet access, you must specify a NAT gateway. </para><para> When internet access is disabled, you won't be able to train or host models unless your VPC has an interface endpoint (PrivateLink) or a NAT gateway and your security groups allow outbound connections. </para></li></ul><para><b><code>VpcOnly</code> mode</b></para><para> When you specify <code>VpcOnly</code>, you must specify the following: </para><ul><li><para> Security group inbound and outbound rules to allow NFS traffic over TCP on port 2049 between the domain and the EFS volume </para></li><li><para> Security group inbound and outbound rules to allow traffic between the JupyterServer app and the KernelGateway apps </para></li><li><para> Interface endpoints to access the SageMaker API and SageMaker runtime </para></li></ul><para> For more information, see: </para><ul><li><para><a href="https://docs.aws.amazon.com/vpc/latest/userguide/VPC_SecurityGroups.html">Security groups for your VPC</a></para></li><li><para><a href="https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Scenario2.html">VPC with public and private subnets (NAT)</a></para></li><li><para><a href="https://docs.aws.amazon.com/sagemaker/latest/dg/interface-vpc-endpoint.html">Connect to SageMaker through a VPC interface endpoint</a></para></li></ul> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.AppNetworkAccessType"> <summary> <para> <para>Specifies the VPC used for non-EFS traffic. The default value is <code>PublicInternetOnly</code>.</para><ul><li><para><code>PublicInternetOnly</code> - Non-EFS traffic is through a VPC managed by Amazon SageMaker, which allows direct internet access</para></li><li><para><code>VpcOnly</code> - All Studio traffic is through the specified VPC and subnets</para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.AuthMode"> <summary> <para> <para>The mode of authentication that members use to access the domain.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.DefaultUserSetting"> <summary> <para> <para>The default user settings.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.DomainName"> <summary> <para> <para>A name for the domain.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.HomeEfsFileSystemKmsKeyId"> <summary> <para> <para>The AWS Key Management Service (KMS) encryption key ID. Encryption with a customer master key (CMK) is not supported.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.SubnetId"> <summary> <para> <para>The VPC subnets that Studio uses for communication.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.Tag"> <summary> <para> <para>Tags to associated with the Domain. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the <a>Search</a> API.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.VpcId"> <summary> <para> <para>The ID of the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateDomainResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateDomainResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the DomainName parameter. The -PassThru parameter is deprecated, use -Select '^DomainName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMDomainCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointCmdlet"> <summary> Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the <a>CreateEndpointConfig</a> API. <para> Use this API to deploy models using Amazon SageMaker hosting services. </para><para> For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-deploy-model.html#ex1-deploy-model-boto">Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)).</a></para><note><para> You must not delete an <code>EndpointConfig</code> that is in use by an endpoint that is live or while the <code>UpdateEndpoint</code> or <code>CreateEndpoint</code> operations are being performed on the endpoint. To update an endpoint, you must create a new <code>EndpointConfig</code>. </para></note><para> The endpoint name must be unique within an AWS Region in your AWS account. </para><para> When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them. </para><note><para> When you call <a>CreateEndpoint</a>, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadConsistency.html"><code>Eventually Consistent Reads</code></a>, the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call <a>DescribeEndpointConfig</a> before calling <a>CreateEndpoint</a> to minimize the potential impact of a DynamoDB eventually consistent read. </para></note><para> When Amazon SageMaker receives the request, it sets the endpoint status to <code>Creating</code>. After it creates the endpoint, it sets the status to <code>InService</code>. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the <a>DescribeEndpoint</a> API. </para><para> If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see <a href="https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_enable-regions.html">Activating and Deactivating AWS STS in an AWS Region</a> in the <i>AWS Identity and Access Management User Guide</i>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointCmdlet.EndpointConfigName"> <summary> <para> <para>The name of an endpoint configuration. For more information, see <a>CreateEndpointConfig</a>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointCmdlet.EndpointName"> <summary> <para> <para>The name of the endpoint. The name must be unique within an AWS Region in your AWS account.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointCmdlet.Tag"> <summary> <para> <para>An array of key-value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using Cost Allocation Tags</a>in the <i>AWS Billing and Cost Management User Guide</i>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'EndpointArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateEndpointResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateEndpointResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the EndpointConfigName parameter. The -PassThru parameter is deprecated, use -Select '^EndpointConfigName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet"> <summary> Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the <code>CreateModel</code> API, to deploy and the resources that you want Amazon SageMaker to provision. Then you call the <a>CreateEndpoint</a> API. <note><para> Use this API if you want to use Amazon SageMaker hosting services to deploy models into production. </para></note><para> In the request, you define a <code>ProductionVariant</code>, for each model that you want to deploy. Each <code>ProductionVariant</code> parameter also describes the resources that you want Amazon SageMaker to provision. This includes the number and type of ML compute instances to deploy. </para><para> If you are hosting multiple models, you also assign a <code>VariantWeight</code> to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B. </para><para> For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-deploy-model.html#ex1-deploy-model-boto">Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)).</a></para><note><para> When you call <a>CreateEndpoint</a>, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadConsistency.html"><code>Eventually Consistent Reads</code></a>, the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call <a>DescribeEndpointConfig</a> before calling <a>CreateEndpoint</a> to minimize the potential impact of a DynamoDB eventually consistent read. </para></note> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.DataCaptureConfig_CaptureOption"> <summary> <para> The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.CaptureContentTypeHeader_CsvContentType"> <summary> <para> The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.DataCaptureConfig_DestinationS3Uri"> <summary> <para> The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.DataCaptureConfig_EnableCapture"> <summary> <para> The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.EndpointConfigName"> <summary> <para> <para>The name of the endpoint configuration. You specify this name in a <a>CreateEndpoint</a> request. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.DataCaptureConfig_InitialSamplingPercentage"> <summary> <para> The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.CaptureContentTypeHeader_JsonContentType"> <summary> <para> The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.DataCaptureConfig_KmsKeyId"> <summary> <para> The service has not provided documentation for this parameter; please refer to the service's API reference documentation for the latest available information. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.KmsKeyId"> <summary> <para> <para>The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.</para><para>The KmsKeyId can be any of the following formats: </para><ul><li><para>Key ID: <code>1234abcd-12ab-34cd-56ef-1234567890ab</code></para></li><li><para>Key ARN: <code>arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab</code></para></li><li><para>Alias name: <code>alias/ExampleAlias</code></para></li><li><para>Alias name ARN: <code>arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias</code></para></li></ul><para>The KMS key policy must grant permission to the IAM role that you specify in your <code>CreateEndpoint</code>, <code>UpdateEndpoint</code> requests. For more information, refer to the AWS Key Management Service section<a href="https://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html"> Using Key Policies in AWS KMS </a></para><note><para>Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a <code>KmsKeyId</code> when using an instance type with local storage. If any of the models that you specify in the <code>ProductionVariants</code> parameter use nitro-based instances with local storage, do not specify a value for the <code>KmsKeyId</code> parameter. If you specify a value for <code>KmsKeyId</code> when using any nitro-based instances with local storage, the call to <code>CreateEndpointConfig</code> fails.</para><para>For a list of instance types that support local instance storage, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html#instance-store-volumes">Instance Store Volumes</a>.</para><para>For more information about local instance storage encryption, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ssd-instance-store.html">SSD Instance Store Volumes</a>.</para></note> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.ProductionVariant"> <summary> <para> <para>An list of <code>ProductionVariant</code> objects, one for each model that you want to host at this endpoint.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.Tag"> <summary> <para> <para>A list of key-value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using Cost Allocation Tags</a> in the <i> AWS Billing and Cost Management User Guide</i>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'EndpointConfigArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateEndpointConfigResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateEndpointConfigResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the EndpointConfigName parameter. The -PassThru parameter is deprecated, use -Select '^EndpointConfigName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMEndpointConfigCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMExperimentCmdlet"> <summary> Creates an SageMaker <i>experiment</i>. An experiment is a collection of <i>trials</i> that are observed, compared and evaluated as a group. A trial is a set of steps, called <i>trial components</i>, that produce a machine learning model. <para> The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant. </para><para> When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK. </para><para> You can add tags to experiments, trials, trial components and then use the <a>Search</a> API to search for the tags. </para><para> To add a description to an experiment, specify the optional <code>Description</code> parameter. To add a description later, or to change the description, call the <a>UpdateExperiment</a> API. </para><para> To get a list of all your experiments, call the <a>ListExperiments</a> API. To view an experiment's properties, call the <a>DescribeExperiment</a> API. To get a list of all the trials associated with an experiment, call the <a>ListTrials</a> API. To create a trial call the <a>CreateTrial</a> API. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMExperimentCmdlet.Description"> <summary> <para> <para>The description of the experiment.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMExperimentCmdlet.DisplayName"> <summary> <para> <para>The name of the experiment as displayed. The name doesn't need to be unique. If you don't specify <code>DisplayName</code>, the value in <code>ExperimentName</code> is displayed.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMExperimentCmdlet.ExperimentName"> <summary> <para> <para>The name of the experiment. The name must be unique in your AWS account and is not case-sensitive.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMExperimentCmdlet.Tag"> <summary> <para> <para>A list of tags to associate with the experiment. You can use <a>Search</a> API to search on the tags.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMExperimentCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'ExperimentArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateExperimentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateExperimentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMExperimentCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ExperimentName parameter. The -PassThru parameter is deprecated, use -Select '^ExperimentName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMExperimentCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet"> <summary> Creates a flow definition. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.HumanLoopRequestSource_AwsManagedHumanLoopRequestSource"> <summary> <para> <para>Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.AmountInUsd_Cent"> <summary> <para> <para>The fractional portion, in cents, of the amount. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.AmountInUsd_Dollar"> <summary> <para> <para>The whole number of dollars in the amount.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.FlowDefinitionName"> <summary> <para> <para>The name of your flow definition.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.HumanLoopActivationConditionsConfig_HumanLoopActivationCondition"> <summary> <para> <para>JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-human-fallback-conditions-json-schema.html">JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI</a> in the <i>Amazon SageMaker Developer Guide</i>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.HumanLoopConfig_HumanTaskUiArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the human task user interface.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.OutputConfig_KmsKeyId"> <summary> <para> <para>The Amazon Key Management Service (KMS) key ID for server-side encryption.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.RoleArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the role needed to call other services on your behalf. For example, <code>arn:aws:iam::1234567890:role/service-role/AmazonSageMaker-ExecutionRole-20180111T151298</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.OutputConfig_S3OutputPath"> <summary> <para> <para>The Amazon S3 path where the object containing human output will be made available.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.Tag"> <summary> <para> <para>An array of key-value pairs that contain metadata to help you categorize and organize a flow definition. Each tag consists of a key and a value, both of which you define.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.HumanLoopConfig_TaskAvailabilityLifetimeInSecond"> <summary> <para> <para>The length of time that a task remains available for review by human workers.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.HumanLoopConfig_TaskCount"> <summary> <para> <para>The number of distinct workers who will perform the same task on each object. For example, if <code>TaskCount</code> is set to <code>3</code> for an image classification labeling job, three workers will classify each input image. Increasing <code>TaskCount</code> can improve label accuracy.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.HumanLoopConfig_TaskDescription"> <summary> <para> <para>A description for the human worker task.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.HumanLoopConfig_TaskKeyword"> <summary> <para> <para>Keywords used to describe the task so that workers can discover the task.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.HumanLoopConfig_TaskTimeLimitInSecond"> <summary> <para> <para>The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour)</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.HumanLoopConfig_TaskTitle"> <summary> <para> <para>A title for the human worker task.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.AmountInUsd_TenthFractionsOfACent"> <summary> <para> <para>Fractions of a cent, in tenths.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.HumanLoopConfig_WorkteamArn"> <summary> <para> <para>Amazon Resource Name (ARN) of a team of workers.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'FlowDefinitionArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateFlowDefinitionResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateFlowDefinitionResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the FlowDefinitionName parameter. The -PassThru parameter is deprecated, use -Select '^FlowDefinitionName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMFlowDefinitionCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMHumanTaskUiCmdlet"> <summary> Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHumanTaskUiCmdlet.UiTemplate_Content"> <summary> <para> <para>The content of the Liquid template for the worker user interface.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHumanTaskUiCmdlet.HumanTaskUiName"> <summary> <para> <para>The name of the user interface you are creating.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHumanTaskUiCmdlet.Tag"> <summary> <para> <para>An array of key-value pairs that contain metadata to help you categorize and organize a human review workflow user interface. Each tag consists of a key and a value, both of which you define.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHumanTaskUiCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'HumanTaskUiArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateHumanTaskUiResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateHumanTaskUiResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHumanTaskUiCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the HumanTaskUiName parameter. The -PassThru parameter is deprecated, use -Select '^HumanTaskUiName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHumanTaskUiCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet"> <summary> Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.AlgorithmSpecification_AlgorithmName"> <summary> <para> <para>The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for <code>TrainingImage</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.ParameterRanges_CategoricalParameterRange"> <summary> <para> <para>The array of <a>CategoricalParameterRange</a> objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.HyperParameterRanges_CategoricalParameterRange"> <summary> <para> <para>The array of <a>CategoricalParameterRange</a> objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.ParameterRanges_ContinuousParameterRange"> <summary> <para> <para>The array of <a>ContinuousParameterRange</a> objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.HyperParameterRanges_ContinuousParameterRange"> <summary> <para> <para>The array of <a>ContinuousParameterRange</a> objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TrainingJobDefinition_DefinitionName"> <summary> <para> <para>The job definition name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TrainingJobDefinition_EnableInterContainerTrafficEncryption"> <summary> <para> <para>To encrypt all communications between ML compute instances in distributed training, choose <code>True</code>. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TrainingJobDefinition_EnableManagedSpotTraining"> <summary> <para> <para>A Boolean indicating whether managed spot training is enabled (<code>True</code>) or not (<code>False</code>).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TrainingJobDefinition_EnableNetworkIsolation"> <summary> <para> <para>Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.HyperParameterTuningJobName"> <summary> <para> <para>The name of the tuning job. This name is the prefix for the names of all training jobs that this tuning job launches. The name must be unique within the same AWS account and AWS Region. The name must have { } to { } characters. Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name is not case sensitive.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TrainingJobDefinition_InputDataConfig"> <summary> <para> <para>An array of <a>Channel</a> objects that specify the input for the training jobs that the tuning job launches.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.ParameterRanges_IntegerParameterRange"> <summary> <para> <para>The array of <a>IntegerParameterRange</a> objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.HyperParameterRanges_IntegerParameterRange"> <summary> <para> <para>The array of <a>IntegerParameterRange</a> objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.CheckpointConfig_LocalPath"> <summary> <para> <para>(Optional) The local directory where checkpoints are written. The default directory is <code>/opt/ml/checkpoints/</code>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.ResourceLimits_MaxNumberOfTrainingJob"> <summary> <para> <para>The maximum number of training jobs that a hyperparameter tuning job can launch.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.ResourceLimits_MaxParallelTrainingJob"> <summary> <para> <para>The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.StoppingCondition_MaxRuntimeInSecond"> <summary> <para> <para>The maximum length of time, in seconds, that the training or compilation job can run. If job does not complete during this time, Amazon SageMaker ends the job. If value is not specified, default value is 1 day. The maximum value is 28 days.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.StoppingCondition_MaxWaitTimeInSecond"> <summary> <para> <para>The maximum length of time, in seconds, how long you are willing to wait for a managed spot training job to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the training job runs. It must be equal to or greater than <code>MaxRuntimeInSeconds</code>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.AlgorithmSpecification_MetricDefinition"> <summary> <para> <para>An array of <a>MetricDefinition</a> objects that specify the metrics that the algorithm emits.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.HyperParameterTuningJobObjective_MetricName"> <summary> <para> <para>The name of the metric to use for the objective metric.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TuningObjective_MetricName"> <summary> <para> <para>The name of the metric to use for the objective metric.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TrainingJobDefinition_OutputDataConfig"> <summary> <para> <para>Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.WarmStartConfig_ParentHyperParameterTuningJob"> <summary> <para> <para>An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-warm-start.html">Using a Previous Hyperparameter Tuning Job as a Starting Point</a>.</para><para>Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TrainingJobDefinition_ResourceConfig"> <summary> <para> <para>The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.</para><para>Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want Amazon SageMaker to use the storage volume to store the training data, choose <code>File</code> as the <code>TrainingInputMode</code> in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TrainingJobDefinition_RoleArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.CheckpointConfig_S3Uri"> <summary> <para> <para>Identifies the S3 path where you want Amazon SageMaker to store checkpoints. For example, <code>s3://bucket-name/key-name-prefix</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.VpcConfig_SecurityGroupId"> <summary> <para> <para>The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the <code>Subnets</code> field.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TrainingJobDefinition_StaticHyperParameter"> <summary> <para> <para>Specifies the values of hyperparameters that do not change for the tuning job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.HyperParameterTuningJobConfig_Strategy"> <summary> <para> <para>Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. To use the Bayesian search strategy, set this to <code>Bayesian</code>. To randomly search, set it to <code>Random</code>. For information about search strategies, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-how-it-works.html">How Hyperparameter Tuning Works</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.VpcConfig_Subnet"> <summary> <para> <para>The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/instance-types-az.html">Supported Instance Types and Availability Zones</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.Tag"> <summary> <para> <para>An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see <a href="https://aws.amazon.com/answers/account-management/aws-tagging-strategies/">AWS Tagging Strategies</a>.</para><para>Tags that you specify for the tuning job are also added to all training jobs that the tuning job launches.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TuningJobCompletionCriteria_TargetObjectiveMetricValue"> <summary> <para> <para>The value of the objective metric.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.AlgorithmSpecification_TrainingImage"> <summary> <para> <para> The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html">Algorithms Provided by Amazon SageMaker: Common Parameters</a>. Amazon SageMaker supports both <code>registry/repository[:tag]</code> and <code>registry/repository[@digest]</code> image path formats. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html">Using Your Own Algorithms with Amazon SageMaker</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.AlgorithmSpecification_TrainingInputMode"> <summary> <para> <para>The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker downloads the training data from Amazon S3 to the storage volume that is attached to the training instance and mounts the directory to the Docker volume for the training container. In Pipe input mode, Amazon SageMaker streams data directly from Amazon S3 to the container. </para><para>If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.</para><para>For more information about input modes, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html">Algorithms</a>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TrainingJobDefinition"> <summary> <para> <para>A list of the <a>HyperParameterTrainingJobDefinition</a> objects launched for this tuning job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.HyperParameterTuningJobConfig_TrainingJobEarlyStoppingType"> <summary> <para> <para>Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. This can be one of the following values (the default value is <code>OFF</code>):</para><dl><dt>OFF</dt><dd><para>Training jobs launched by the hyperparameter tuning job do not use early stopping.</para></dd><dt>AUTO</dt><dd><para>Amazon SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-early-stopping.html">Stop Training Jobs Early</a>.</para></dd></dl> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.HyperParameterTuningJobObjective_Type"> <summary> <para> <para>Whether to minimize or maximize the objective metric.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.TuningObjective_Type"> <summary> <para> <para>Whether to minimize or maximize the objective metric.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.WarmStartConfig_WarmStartType"> <summary> <para> <para>Specifies one of the following:</para><dl><dt>IDENTICAL_DATA_AND_ALGORITHM</dt><dd><para>The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.</para></dd><dt>TRANSFER_LEARNING</dt><dd><para>The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.</para></dd></dl> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'HyperParameterTuningJobArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateHyperParameterTuningJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateHyperParameterTuningJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the HyperParameterTuningJobName parameter. The -PassThru parameter is deprecated, use -Select '^HyperParameterTuningJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMHyperParameterTuningJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet"> <summary> Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models. <para> You can select your workforce from one of three providers: </para><ul><li><para> A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required. </para></li><li><para> One or more vendors that you select from the AWS Marketplace. Vendors provide expertise in specific areas. </para></li><li><para> The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information. </para></li></ul><para> You can also use <i>automated data labeling</i> to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses <i>active learning</i> to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-automated-labeling.html">Using Automated Data Labeling</a>. </para><para> The data objects to be labeled are contained in an Amazon S3 bucket. You create a <i>manifest file</i> that describes the location of each object. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-data.html">Using Input and Output Data</a>. </para><para> The output can be used as the manifest file for another labeling job or as training data for your machine learning models. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.AnnotationConsolidationConfig_AnnotationConsolidationLambdaArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of a Lambda function implements the logic for <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-annotation-consolidation.html">annotation consolidation</a> and to process output data.</para><para>This parameter is required for all labeling jobs. For <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html">built-in task types</a>, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for <code>AnnotationConsolidationLambdaArn</code>. For custom labeling workflows, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates-step3.html#sms-custom-templates-step3-postlambda">Post-annotation Lambda</a>. </para><para><b>Bounding box</b> - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox</code></para></li></ul><para><b>Image classification</b> - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass</code></para></li></ul><para><b>Multi-label image classification</b> - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel</code></para></li></ul><para><b>Semantic segmentation</b> - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation</code></para></li></ul><para><b>Text classification</b> - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass</code></para></li></ul><para><b>Multi-label text classification</b> - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel</code></para></li></ul><para><b>Named entity recognition</b> - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition</code></para></li></ul><para><b>Named entity recognition</b> - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition</code></para></li></ul><para><b>Video Classification</b> - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass</code></para></li></ul><para><b>Video Frame Object Detection</b> - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection</code></para></li></ul><para><b>Video Frame Object Tracking</b> - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians. </para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking</code></para></li></ul><para><b>3D point cloud object detection</b> - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection</code></para></li></ul><para><b>3D point cloud object tracking</b> - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames. </para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking</code></para></li></ul><para><b>3D point cloud semantic segmentation</b> - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation</code></para></li></ul><para><b>Use the following ARNs for Label Verification and Adjustment Jobs</b></para><para>Use label verification and adjustment jobs to review and adjust labels. To learn more, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-verification-data.html">Verify and Adjust Labels </a>.</para><para><b>Semantic segmentation adjustment</b> - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation</code></para></li></ul><para><b>Semantic segmentation verification</b> - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation</code></para></li></ul><para><b>Bounding box verification</b> - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox</code></para></li></ul><para><b>Bounding box adjustment</b> - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox</code></para></li></ul><para><b>Video Frame Object Detection Adjustment</b> - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection</code></para></li></ul><para><b>Video Frame Object Tracking Adjustment</b> - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking</code></para></li></ul><para><b>3D point cloud object detection adjustment</b> - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud. </para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection</code></para></li></ul><para><b>3D point cloud object tracking adjustment</b> - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking</code></para></li></ul><para><b>3D point cloud semantic segmentation adjustment</b> - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para><para><code>arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation</code></para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.AmountInUsd_Cent"> <summary> <para> <para>The fractional portion, in cents, of the amount. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.DataAttributes_ContentClassifier"> <summary> <para> <para>Declares that your content is free of personally identifiable information or adult content. Amazon SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.AmountInUsd_Dollar"> <summary> <para> <para>The whole number of dollars in the amount.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.UiConfig_HumanTaskUiArn"> <summary> <para> <para>The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.</para><para>Use this parameter when you are creating a labeling job for 3D point cloud and video fram labeling jobs. Use your labeling job task type to select one of the following ARN's and use it with this parameter when you create a labeling job. Replace <code>aws-region</code> with the AWS region you are creating your labeling job in.</para><para><b>3D Point Cloud HumanTaskUiArns</b></para><para>Use this <code>HumanTaskUiArn</code> for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs. </para><ul><li><para><code>arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection</code></para></li></ul><para> Use this <code>HumanTaskUiArn</code> for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs. </para><ul><li><para><code>arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking</code></para></li></ul><para> Use this <code>HumanTaskUiArn</code> for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs.</para><ul><li><para><code>arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation</code></para></li></ul><para><b>Video Frame HumanTaskUiArns</b></para><para>Use this <code>HumanTaskUiArn</code> for video frame object detection and video frame object detection adjustment labeling jobs. </para><ul><li><para><code>arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection</code></para></li></ul><para> Use this <code>HumanTaskUiArn</code> for video frame object tracking and video frame object tracking adjustment labeling jobs. </para><ul><li><para><code>arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking</code></para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.LabelingJobAlgorithmsConfig_InitialActiveLearningModelArn"> <summary> <para> <para>At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.OutputConfig_KmsKeyId"> <summary> <para> <para>The AWS Key Management Service ID of the key used to encrypt the output data, if any.</para><para>If you use a KMS key ID or an alias of your master key, the Amazon SageMaker execution role must include permissions to call <code>kms:Encrypt</code>. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for <code>LabelingJobOutputConfig</code>. If you use a bucket policy with an <code>s3:PutObject</code> permission that only allows objects with server-side encryption, set the condition key of <code>s3:x-amz-server-side-encryption</code> to <code>"aws:kms"</code>. For more information, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html">KMS-Managed Encryption Keys</a> in the <i>Amazon Simple Storage Service Developer Guide.</i></para><para>The KMS key policy must grant permission to the IAM role that you specify in your <code>CreateLabelingJob</code> request. For more information, see <a href="http://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html">Using Key Policies in AWS KMS</a> in the <i>AWS Key Management Service Developer Guide</i>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.LabelAttributeName"> <summary> <para> <para>The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with "-metadata". If you are running a semantic segmentation labeling job, the attribute name must end with "-ref". If you are running any other kind of labeling job, the attribute name must not end with "-ref".</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.LabelCategoryConfigS3Uri"> <summary> <para> <para>The S3 URL of the file that defines the categories used to label the data objects.</para><para>For 3D point cloud task types, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud-label-category-config.html">Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs</a>. </para><para>For all other <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html">built-in task types</a> and <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates.html">custom tasks</a>, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing <code>label_1</code>, <code>label_2</code>,<code>...</code>,<code>label_n</code> with your label categories.</para><para><code>{</code></para><para><code> "document-version": "2018-11-28"</code></para><para><code> "labels": [</code></para><para><code> {</code></para><para><code> "label": "<i>label_1</i>"</code></para><para><code> },</code></para><para><code> {</code></para><para><code> "label": "<i>label_2</i>"</code></para><para><code> },</code></para><para><code> ...</code></para><para><code> {</code></para><para><code> "label": "<i>label_n</i>"</code></para><para><code> }</code></para><para><code> ]</code></para><para><code>}</code></para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.LabelingJobAlgorithmsConfig_LabelingJobAlgorithmSpecificationArn"> <summary> <para> <para>Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:</para><ul><li><para><i>Image classification</i></para><para><code>arn:aws:sagemaker:<i>region</i>:027400017018:labeling-job-algorithm-specification/image-classification</code></para></li><li><para><i>Text classification</i></para><para><code>arn:aws:sagemaker:<i>region</i>:027400017018:labeling-job-algorithm-specification/text-classification</code></para></li><li><para><i>Object detection</i></para><para><code>arn:aws:sagemaker:<i>region</i>:027400017018:labeling-job-algorithm-specification/object-detection</code></para></li><li><para><i>Semantic Segmentation</i></para><para><code>arn:aws:sagemaker:<i>region</i>:027400017018:labeling-job-algorithm-specification/semantic-segmentation</code></para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.LabelingJobName"> <summary> <para> <para>The name of the labeling job. This name is used to identify the job in a list of labeling jobs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.S3DataSource_ManifestS3Uri"> <summary> <para> <para>The Amazon S3 location of the manifest file that describes the input data objects.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.HumanTaskConfig_MaxConcurrentTaskCount"> <summary> <para> <para>Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.StoppingConditions_MaxHumanLabeledObjectCount"> <summary> <para> <para>The maximum number of objects that can be labeled by human workers.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.StoppingConditions_MaxPercentageOfInputDatasetLabeled"> <summary> <para> <para>The maximum number of input data objects that should be labeled.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.HumanTaskConfig_NumberOfHumanWorkersPerDataObject"> <summary> <para> <para>The number of human workers that will label an object. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.HumanTaskConfig_PreHumanTaskLambdaArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.</para><para>For <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html">built-in task types</a>, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for <code>PreHumanTaskLambdaArn</code>. For custom labeling workflows, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates-step3.html#sms-custom-templates-step3-prelambda">Pre-annotation Lambda</a>. </para><para><b>Bounding box</b> - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox</code></para></li></ul><para><b>Image classification</b> - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass</code></para></li></ul><para><b>Multi-label image classification</b> - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel</code></para></li></ul><para><b>Semantic segmentation</b> - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation</code></para></li></ul><para><b>Text classification</b> - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass</code></para></li></ul><para><b>Multi-label text classification</b> - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel</code></para></li></ul><para><b>Named entity recognition</b> - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition</code></para></li></ul><para><b>Video Classification</b> - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass</code></para></li></ul><para><b>Video Frame Object Detection</b> - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection</code></para></li></ul><para><b>Video Frame Object Tracking</b> - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians. </para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking</code></para></li></ul><para><b>3D Point Cloud Modalities</b></para><para>Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud-task-types.html">3D Point Cloud Task types </a> to learn more. </para><para><b>3D Point Cloud Object Detection</b> - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection</code></para></li></ul><para><b>3D Point Cloud Object Tracking</b> - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames. </para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking</code></para></li></ul><para><b>3D Point Cloud Semantic Segmentation</b> - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation</code></para></li></ul><para><b>Use the following ARNs for Label Verification and Adjustment Jobs</b></para><para>Use label verification and adjustment jobs to review and adjust labels. To learn more, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-verification-data.html">Verify and Adjust Labels </a>.</para><para><b>Bounding box verification</b> - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li></ul><para><b>Bounding box adjustment</b> - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox</code></para></li></ul><para><b>Semantic segmentation verification</b> - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation</code></para></li></ul><para><b>Semantic segmentation adjustment</b> - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation</code></para></li></ul><para><b>Video Frame Object Detection Adjustment</b> - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection</code></para></li></ul><para><b>Video Frame Object Tracking Adjustment</b> - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.</para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking</code></para></li></ul><para><b>3D point cloud object detection adjustment</b> - Adjust 3D cuboids in a point cloud frame. </para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection</code></para></li></ul><para><b>3D point cloud object tracking adjustment</b> - Adjust 3D cuboids across a sequence of point cloud frames. </para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking</code></para></li></ul><para><b>3D point cloud semantic segmentation adjustment</b> - Adjust semantic segmentation masks in a 3D point cloud. </para><ul><li><para><code>arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li><li><para><code>arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation</code></para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.RoleArn"> <summary> <para> <para>The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.OutputConfig_S3OutputPath"> <summary> <para> <para>The Amazon S3 location to write output data.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.SnsDataSource_SnsTopicArn"> <summary> <para> <para>The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.</para><para>If you specify an input topic for <code>SnsTopicArn</code> in <code>InputConfig</code>, you must specify a value for <code>SnsTopicArn</code> in <code>OutputConfig</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.OutputConfig_SnsTopicArn"> <summary> <para> <para>An Amazon Simple Notification Service (Amazon SNS) output topic ARN.</para><para>When workers complete labeling tasks, Ground Truth will send labeling task output data to the SNS output topic you specify here.</para><para>You must provide a value for this parameter if you provide an Amazon SNS input topic in <code>SnsDataSource</code> in <code>InputConfig</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.Tag"> <summary> <para> <para>An array of key/value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User Guide</i>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.HumanTaskConfig_TaskAvailabilityLifetimeInSecond"> <summary> <para> <para>The length of time that a task remains available for labeling by human workers. <b>If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43200)</b>. The default value is 864000 seconds (10 days). For private and vendor workforces, the maximum is as listed.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.HumanTaskConfig_TaskDescription"> <summary> <para> <para>A description of the task for your human workers.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.HumanTaskConfig_TaskKeyword"> <summary> <para> <para>Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.HumanTaskConfig_TaskTimeLimitInSecond"> <summary> <para> <para>The amount of time that a worker has to complete a task.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.HumanTaskConfig_TaskTitle"> <summary> <para> <para>A title for the task for your human workers.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.AmountInUsd_TenthFractionsOfACent"> <summary> <para> <para>Fractions of a cent, in tenths.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.UiConfig_UiTemplateS3Uri"> <summary> <para> <para>The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates-step2.html"> Creating Your Custom Labeling Task Template</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.LabelingJobResourceConfig_VolumeKmsKeyId"> <summary> <para> <para>The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job. The <code>VolumeKmsKeyId</code> can be any of the following formats:</para><ul><li><para>// KMS Key ID</para><para><code>"1234abcd-12ab-34cd-56ef-1234567890ab"</code></para></li><li><para>// Amazon Resource Name (ARN) of a KMS Key</para><para><code>"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"</code></para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.HumanTaskConfig_WorkteamArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'LabelingJobArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateLabelingJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateLabelingJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the LabelingJobName parameter. The -PassThru parameter is deprecated, use -Select '^LabelingJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMLabelingJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet"> <summary> Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions. <para> Use this API to create a model if you want to use Amazon SageMaker hosting services or run a batch transform job. </para><para> To host your model, you create an endpoint configuration with the <code>CreateEndpointConfig</code> API, and then create an endpoint with the <code>CreateEndpoint</code> API. Amazon SageMaker then deploys all of the containers that you defined for the model in the hosting environment. </para><para> For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-deploy-model.html#ex1-deploy-model-boto">Deploy the Model to Amazon SageMaker Hosting Services (AWS SDK for Python (Boto 3)).</a></para><para> To run a batch transform using your model, you start a job with the <code>CreateTransformJob</code> API. Amazon SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location. </para><para> In the <code>CreateModel</code> request, you must define a container with the <code>PrimaryContainer</code> parameter. </para><para> In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other AWS resources, you grant necessary permissions via this role. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.Container"> <summary> <para> <para>Specifies the containers in the inference pipeline.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.EnableNetworkIsolation"> <summary> <para> <para>Isolates the model container. No inbound or outbound network calls can be made to or from the model container.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.ExecutionRoleArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon SageMaker Roles</a>. </para><note><para>To be able to pass this role to Amazon SageMaker, the caller of this API must have the <code>iam:PassRole</code> permission.</para></note> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.ModelName"> <summary> <para> <para>The name of the new model.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.PrimaryContainer"> <summary> <para> <para>The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.VpcConfig_SecurityGroupId"> <summary> <para> <para>The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the <code>Subnets</code> field.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.VpcConfig_Subnet"> <summary> <para> <para>The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/instance-types-az.html">Supported Instance Types and Availability Zones</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.Tag"> <summary> <para> <para>An array of key-value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User Guide</i>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'ModelArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateModelResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the PrimaryContainer parameter. The -PassThru parameter is deprecated, use -Select '^PrimaryContainer' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet"> <summary> Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker. <para> To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for <code>InferenceSpecification</code>. To create a model from an algorithm resource that you created or subscribed to in AWS Marketplace, provide a value for <code>SourceAlgorithmSpecification</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.CertifyForMarketplace"> <summary> <para> <para>Whether to certify the model package for listing on AWS Marketplace.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.InferenceSpecification_Container"> <summary> <para> <para>The Amazon ECR registry path of the Docker image that contains the inference code.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.ModelPackageDescription"> <summary> <para> <para>A description of the model package.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.ModelPackageName"> <summary> <para> <para>The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.SourceAlgorithmSpecification_SourceAlgorithm"> <summary> <para> <para>A list of the algorithms that were used to create a model package.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.InferenceSpecification_SupportedContentType"> <summary> <para> <para>The supported MIME types for the input data.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.InferenceSpecification_SupportedRealtimeInferenceInstanceType"> <summary> <para> <para>A list of the instance types that are used to generate inferences in real-time.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.InferenceSpecification_SupportedResponseMIMEType"> <summary> <para> <para>The supported MIME types for the output data.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.InferenceSpecification_SupportedTransformInstanceType"> <summary> <para> <para>A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.ValidationSpecification_ValidationProfile"> <summary> <para> <para>An array of <code>ModelPackageValidationProfile</code> objects, each of which specifies a batch transform job that Amazon SageMaker runs to validate your model package.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.ValidationSpecification_ValidationRole"> <summary> <para> <para>The IAM roles to be used for the validation of the model package.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'ModelPackageArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateModelPackageResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateModelPackageResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ModelPackageName parameter. The -PassThru parameter is deprecated, use -Select '^ModelPackageName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMModelPackageCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMMonitoringScheduleCmdlet"> <summary> Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endoint. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMMonitoringScheduleCmdlet.MonitoringScheduleConfig"> <summary> <para> <para>The configuration object that specifies the monitoring schedule and defines the monitoring job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMMonitoringScheduleCmdlet.MonitoringScheduleName"> <summary> <para> <para>The name of the monitoring schedule. The name must be unique within an AWS Region within an AWS account.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMMonitoringScheduleCmdlet.Tag"> <summary> <para> <para>(Optional) An array of key-value pairs. For more information, see <a href=" https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL">Using Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User Guide</i>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMMonitoringScheduleCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'MonitoringScheduleArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateMonitoringScheduleResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateMonitoringScheduleResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMMonitoringScheduleCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the MonitoringScheduleName parameter. The -PassThru parameter is deprecated, use -Select '^MonitoringScheduleName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMMonitoringScheduleCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet"> <summary> Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook. <para> In a <code>CreateNotebookInstance</code> request, specify the type of ML compute instance that you want to run. Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance. </para><para> Amazon SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use Amazon SageMaker with a specific algorithm or with a machine learning framework. </para><para> After receiving the request, Amazon SageMaker does the following: </para><ol><li><para> Creates a network interface in the Amazon SageMaker VPC. </para></li><li><para> (Option) If you specified <code>SubnetId</code>, Amazon SageMaker creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon SageMaker attaches the security group that you specified in the request to the network interface that it creates in your VPC. </para></li><li><para> Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified <code>SubnetId</code> of your VPC, Amazon SageMaker specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it. </para></li></ol><para> After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it. </para><para> After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models. </para><para> For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html">How It Works</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.AcceleratorType"> <summary> <para> <para>A list of Elastic Inference (EI) instance types to associate with this notebook instance. Currently, only one instance type can be associated with a notebook instance. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html">Using Elastic Inference in Amazon SageMaker</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.AdditionalCodeRepository"> <summary> <para> <para>An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in <a href="https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html">AWS CodeCommit</a> or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html">Associating Git Repositories with Amazon SageMaker Notebook Instances</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.DefaultCodeRepository"> <summary> <para> <para>A Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in <a href="https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html">AWS CodeCommit</a> or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html">Associating Git Repositories with Amazon SageMaker Notebook Instances</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.DirectInternetAccess"> <summary> <para> <para>Sets whether Amazon SageMaker provides internet access to the notebook instance. If you set this to <code>Disabled</code> this notebook instance will be able to access resources only in your VPC, and will not be able to connect to Amazon SageMaker training and endpoint services unless your configure a NAT Gateway in your VPC.</para><para>For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/appendix-additional-considerations.html#appendix-notebook-and-internet-access">Notebook Instances Are Internet-Enabled by Default</a>. You can set the value of this parameter to <code>Disabled</code> only if you set a value for the <code>SubnetId</code> parameter.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.InstanceType"> <summary> <para> <para>The type of ML compute instance to launch for the notebook instance.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.KmsKeyId"> <summary> <para> <para>The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to your notebook instance. The KMS key you provide must be enabled. For information, see <a href="https://docs.aws.amazon.com/kms/latest/developerguide/enabling-keys.html">Enabling and Disabling Keys</a> in the <i>AWS Key Management Service Developer Guide</i>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.LifecycleConfigName"> <summary> <para> <para>The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html">Step 2.1: (Optional) Customize a Notebook Instance</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.NotebookInstanceName"> <summary> <para> <para>The name of the new notebook instance.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.RoleArn"> <summary> <para> <para> When you send any requests to AWS resources from the notebook instance, Amazon SageMaker assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so Amazon SageMaker can perform these tasks. The policy must allow the Amazon SageMaker service principal (sagemaker.amazonaws.com) permissions to assume this role. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon SageMaker Roles</a>. </para><note><para>To be able to pass this role to Amazon SageMaker, the caller of this API must have the <code>iam:PassRole</code> permission.</para></note> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.RootAccess"> <summary> <para> <para>Whether root access is enabled or disabled for users of the notebook instance. The default value is <code>Enabled</code>.</para><note><para>Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.</para></note> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.SecurityGroupId"> <summary> <para> <para>The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.SubnetId"> <summary> <para> <para>The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.Tag"> <summary> <para> <para>A list of tags to associate with the notebook instance. You can add tags later by using the <code>CreateTags</code> API.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.VolumeSizeInGB"> <summary> <para> <para>The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'NotebookInstanceArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateNotebookInstanceResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateNotebookInstanceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceLifecycleConfigCmdlet"> <summary> Creates a lifecycle configuration that you can associate with a notebook instance. A <i>lifecycle configuration</i> is a collection of shell scripts that run when you create or start a notebook instance. <para> Each lifecycle configuration script has a limit of 16384 characters. </para><para> The value of the <code>$PATH</code> environment variable that is available to both scripts is <code>/sbin:bin:/usr/sbin:/usr/bin</code>. </para><para> View CloudWatch Logs for notebook instance lifecycle configurations in log group <code>/aws/sagemaker/NotebookInstances</code> in log stream <code>[notebook-instance-name]/[LifecycleConfigHook]</code>. </para><para> Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started. </para><para> For information about notebook instance lifestyle configurations, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html">Step 2.1: (Optional) Customize a Notebook Instance</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceLifecycleConfigCmdlet.NotebookInstanceLifecycleConfigName"> <summary> <para> <para>The name of the lifecycle configuration.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceLifecycleConfigCmdlet.OnCreate"> <summary> <para> <para>A shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceLifecycleConfigCmdlet.OnStart"> <summary> <para> <para>A shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceLifecycleConfigCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'NotebookInstanceLifecycleConfigArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateNotebookInstanceLifecycleConfigResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateNotebookInstanceLifecycleConfigResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceLifecycleConfigCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceLifecycleConfigName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceLifecycleConfigName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMNotebookInstanceLifecycleConfigCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedDomainUrlCmdlet"> <summary> Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to Amazon SageMaker Studio, and granted access to all of the Apps and files associated with the Domain's Amazon Elastic File System (EFS) volume. This operation can only be called when the authentication mode equals IAM. <note><para> The URL that you get from a call to <code>CreatePresignedDomainUrl</code> is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page. </para></note> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedDomainUrlCmdlet.DomainId"> <summary> <para> <para>The domain ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedDomainUrlCmdlet.SessionExpirationDurationInSecond"> <summary> <para> <para>The session expiration duration in seconds.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedDomainUrlCmdlet.UserProfileName"> <summary> <para> <para>The name of the UserProfile to sign-in as.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedDomainUrlCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'AuthorizedUrl'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreatePresignedDomainUrlResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreatePresignedDomainUrlResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedDomainUrlCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the DomainId parameter. The -PassThru parameter is deprecated, use -Select '^DomainId' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedDomainUrlCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedNotebookInstanceUrlCmdlet"> <summary> Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose <code>Open</code> next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page. <para> The IAM role or user used to call this API defines the permissions to access the notebook instance. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance. </para><para> You can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. Use the <code>NotIpAddress</code> condition operator and the <code>aws:SourceIP</code> condition context key to specify the list of IP addresses that you want to have access to the notebook instance. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/security_iam_id-based-policy-examples.html#nbi-ip-filter">Limit Access to a Notebook Instance by IP Address</a>. </para><note><para> The URL that you get from a call to <a>CreatePresignedNotebookInstanceUrl</a> is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page. </para></note> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedNotebookInstanceUrlCmdlet.NotebookInstanceName"> <summary> <para> <para>The name of the notebook instance.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedNotebookInstanceUrlCmdlet.SessionExpirationDurationInSecond"> <summary> <para> <para>The duration of the session, in seconds. The default is 12 hours.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedNotebookInstanceUrlCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'AuthorizedUrl'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreatePresignedNotebookInstanceUrlResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreatePresignedNotebookInstanceUrlResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedNotebookInstanceUrlCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMPresignedNotebookInstanceUrlCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet"> <summary> Creates a processing job. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.AppSpecification_ContainerArgument"> <summary> <para> <para>The arguments for a container used to run a processing job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.AppSpecification_ContainerEntrypoint"> <summary> <para> <para>The entrypoint for a container used to run a processing job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.NetworkConfig_EnableInterContainerTrafficEncryption"> <summary> <para> <para>Whether to encrypt all communications between distributed processing jobs. Choose <code>True</code> to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.NetworkConfig_EnableNetworkIsolation"> <summary> <para> <para>Whether to allow inbound and outbound network calls to and from the containers used for the processing job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.Environment"> <summary> <para> <para>Sets the environment variables in the Docker container.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ExperimentConfig_ExperimentName"> <summary> <para> <para>The name of an existing experiment to associate the trial component with.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.AppSpecification_ImageUri"> <summary> <para> <para>The container image to be run by the processing job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ClusterConfig_InstanceCount"> <summary> <para> <para>The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ClusterConfig_InstanceType"> <summary> <para> <para>The ML compute instance type for the processing job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ProcessingOutputConfig_KmsKeyId"> <summary> <para> <para>The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the processing job output. <code>KmsKeyId</code> can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The <code>KmsKeyId</code> is applied to all outputs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.StoppingCondition_MaxRuntimeInSecond"> <summary> <para> <para>Specifies the maximum runtime in seconds.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ProcessingOutputConfig_Output"> <summary> <para> <para>Output configuration information for a processing job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ProcessingInput"> <summary> <para> <para>For each input, data is downloaded from S3 into the processing container before the processing job begins running if "S3InputMode" is set to <code>File</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ProcessingJobName"> <summary> <para> <para> The name of the processing job. The name must be unique within an AWS Region in the AWS account.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.RoleArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.VpcConfig_SecurityGroupId"> <summary> <para> <para>The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the <code>Subnets</code> field.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.VpcConfig_Subnet"> <summary> <para> <para>The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/instance-types-az.html">Supported Instance Types and Availability Zones</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.Tag"> <summary> <para> <para>(Optional) An array of key-value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL">Using Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User Guide</i>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ExperimentConfig_TrialComponentDisplayName"> <summary> <para> <para>The display name for the trial component. If this key isn't specified, the display name is the trial component name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ExperimentConfig_TrialName"> <summary> <para> <para>The name of an existing trial to associate the trial component with. If not specified, a new trial is created.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ClusterConfig_VolumeKmsKeyId"> <summary> <para> <para>The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.ClusterConfig_VolumeSizeInGB"> <summary> <para> <para>The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'ProcessingJobArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateProcessingJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateProcessingJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ProcessingJobName parameter. The -PassThru parameter is deprecated, use -Select '^ProcessingJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMProcessingJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet"> <summary> Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify. <para> If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences. </para><para> In the request body, you provide the following: </para><ul><li><para><code>AlgorithmSpecification</code> - Identifies the training algorithm to use. </para></li><li><para><code>HyperParameters</code> - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html">Algorithms</a>. </para></li><li><para><code>InputDataConfig</code> - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored. </para></li><li><para><code>OutputDataConfig</code> - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training. </para></li><li><para><code>ResourceConfig</code> - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance. </para></li><li><para><code>EnableManagedSpotTraining</code> - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-managed-spot-training.html">Managed Spot Training</a>. </para></li><li><para><code>RoleARN</code> - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training. </para></li><li><para><code>StoppingCondition</code> - To help cap training costs, use <code>MaxRuntimeInSeconds</code> to set a time limit for training. Use <code>MaxWaitTimeInSeconds</code> to specify how long you are willing to wait for a managed spot training job to complete. </para></li></ul><para> For more information about Amazon SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html">How It Works</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.AlgorithmSpecification"> <summary> <para> <para>The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata, including the input mode. For more information about algorithms provided by Amazon SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html">Algorithms</a>. For information about providing your own algorithms, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html">Using Your Own Algorithms with Amazon SageMaker</a>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.DebugHookConfig_CollectionConfiguration"> <summary> <para> <para>Configuration information for tensor collections.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.DebugRuleConfiguration"> <summary> <para> <para>Configuration information for debugging rules.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.EnableInterContainerTrafficEncryption"> <summary> <para> <para>To encrypt all communications between ML compute instances in distributed training, choose <code>True</code>. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/train-encrypt.html">Protect Communications Between ML Compute Instances in a Distributed Training Job</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.EnableManagedSpotTraining"> <summary> <para> <para>To train models using managed spot training, choose <code>True</code>. Managed spot training provides a fully managed and scalable infrastructure for training machine learning models. this option is useful when training jobs can be interrupted and when there is flexibility when the training job is run. </para><para>The complete and intermediate results of jobs are stored in an Amazon S3 bucket, and can be used as a starting point to train models incrementally. Amazon SageMaker provides metrics and logs in CloudWatch. They can be used to see when managed spot training jobs are running, interrupted, resumed, or completed. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.EnableNetworkIsolation"> <summary> <para> <para>Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If you enable network isolation for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.ExperimentConfig_ExperimentName"> <summary> <para> <para>The name of an existing experiment to associate the trial component with.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.DebugHookConfig_HookParameter"> <summary> <para> <para>Configuration information for the debug hook parameters.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.HyperParameter"> <summary> <para> <para>Algorithm-specific parameters that influence the quality of the model. You set hyperparameters before you start the learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html">Algorithms</a>. </para><para>You can specify a maximum of 100 hyperparameters. Each hyperparameter is a key-value pair. Each key and value is limited to 256 characters, as specified by the <code>Length Constraint</code>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.InputDataConfig"> <summary> <para> <para>An array of <code>Channel</code> objects. Each channel is a named input source. <code>InputDataConfig</code> describes the input data and its location. </para><para>Algorithms can accept input data from one or more channels. For example, an algorithm might have two channels of input data, <code>training_data</code> and <code>validation_data</code>. The configuration for each channel provides the S3, EFS, or FSx location where the input data is stored. It also provides information about the stored data: the MIME type, compression method, and whether the data is wrapped in RecordIO format. </para><para>Depending on the input mode that the algorithm supports, Amazon SageMaker either copies input data files from an S3 bucket to a local directory in the Docker container, or makes it available as input streams. For example, if you specify an EFS location, input data files will be made available as input streams. They do not need to be downloaded.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.CheckpointConfig_LocalPath"> <summary> <para> <para>(Optional) The local directory where checkpoints are written. The default directory is <code>/opt/ml/checkpoints/</code>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.DebugHookConfig_LocalPath"> <summary> <para> <para>Path to local storage location for tensors. Defaults to <code>/opt/ml/output/tensors/</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.TensorBoardOutputConfig_LocalPath"> <summary> <para> <para>Path to local storage location for tensorBoard output. Defaults to <code>/opt/ml/output/tensorboard</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.StoppingCondition_MaxRuntimeInSecond"> <summary> <para> <para>The maximum length of time, in seconds, that the training or compilation job can run. If job does not complete during this time, Amazon SageMaker ends the job. If value is not specified, default value is 1 day. The maximum value is 28 days.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.StoppingCondition_MaxWaitTimeInSecond"> <summary> <para> <para>The maximum length of time, in seconds, how long you are willing to wait for a managed spot training job to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the training job runs. It must be equal to or greater than <code>MaxRuntimeInSeconds</code>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.OutputDataConfig"> <summary> <para> <para>Specifies the path to the S3 location where you want to store model artifacts. Amazon SageMaker creates subfolders for the artifacts. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.ResourceConfig"> <summary> <para> <para>The resources, including the ML compute instances and ML storage volumes, to use for model training. </para><para>ML storage volumes store model artifacts and incremental states. Training algorithms might also use ML storage volumes for scratch space. If you want Amazon SageMaker to use the ML storage volume to store the training data, choose <code>File</code> as the <code>TrainingInputMode</code> in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.RoleArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf. </para><para>During model training, Amazon SageMaker needs your permission to read input data from an S3 bucket, download a Docker image that contains training code, write model artifacts to an S3 bucket, write logs to Amazon CloudWatch Logs, and publish metrics to Amazon CloudWatch. You grant permissions for all of these tasks to an IAM role. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon SageMaker Roles</a>. </para><note><para>To be able to pass this role to Amazon SageMaker, the caller of this API must have the <code>iam:PassRole</code> permission.</para></note> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.DebugHookConfig_S3OutputPath"> <summary> <para> <para>Path to Amazon S3 storage location for tensors.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.TensorBoardOutputConfig_S3OutputPath"> <summary> <para> <para>Path to Amazon S3 storage location for TensorBoard output.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.CheckpointConfig_S3Uri"> <summary> <para> <para>Identifies the S3 path where you want Amazon SageMaker to store checkpoints. For example, <code>s3://bucket-name/key-name-prefix</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.VpcConfig_SecurityGroupId"> <summary> <para> <para>The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the <code>Subnets</code> field.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.VpcConfig_Subnet"> <summary> <para> <para>The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/instance-types-az.html">Supported Instance Types and Availability Zones</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.Tag"> <summary> <para> <para>An array of key-value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User Guide</i>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.TrainingJobName"> <summary> <para> <para>The name of the training job. The name must be unique within an AWS Region in an AWS account. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.ExperimentConfig_TrialComponentDisplayName"> <summary> <para> <para>The display name for the trial component. If this key isn't specified, the display name is the trial component name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.ExperimentConfig_TrialName"> <summary> <para> <para>The name of an existing trial to associate the trial component with. If not specified, a new trial is created.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrainingJobArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateTrainingJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateTrainingJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrainingJobName parameter. The -PassThru parameter is deprecated, use -Select '^TrainingJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrainingJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet"> <summary> Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify. <para> To perform batch transformations, you create a transform job and use the data that you have readily available. </para><para> In the request body, you provide the following: </para><ul><li><para><code>TransformJobName</code> - Identifies the transform job. The name must be unique within an AWS Region in an AWS account. </para></li><li><para><code>ModelName</code> - Identifies the model to use. <code>ModelName</code> must be the name of an existing Amazon SageMaker model in the same AWS Region and AWS account. For information on creating a model, see <a>CreateModel</a>. </para></li><li><para><code>TransformInput</code> - Describes the dataset to be transformed and the Amazon S3 location where it is stored. </para></li><li><para><code>TransformOutput</code> - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job. </para></li><li><para><code>TransformResources</code> - Identifies the ML compute instances for the transform job. </para></li></ul><para> For more information about how batch transformation works, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform.html">Batch Transform</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformOutput_Accept"> <summary> <para> <para>The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformOutput_AssembleWith"> <summary> <para> <para>Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify <code>None</code>. To add a newline character at the end of every transformed record, specify <code>Line</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.BatchStrategy"> <summary> <para> <para>Specifies the number of records to include in a mini-batch for an HTTP inference request. A <i>record</i><i /> is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record. </para><para>To enable the batch strategy, you must set the <code>SplitType</code> property to <code>Line</code>, <code>RecordIO</code>, or <code>TFRecord</code>.</para><para>To use only one record when making an HTTP invocation request to a container, set <code>BatchStrategy</code> to <code>SingleRecord</code> and <code>SplitType</code> to <code>Line</code>.</para><para>To fit as many records in a mini-batch as can fit within the <code>MaxPayloadInMB</code> limit, set <code>BatchStrategy</code> to <code>MultiRecord</code> and <code>SplitType</code> to <code>Line</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformInput_CompressionType"> <summary> <para> <para>If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is <code>None</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformInput_ContentType"> <summary> <para> <para>The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.Environment"> <summary> <para> <para>The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.ExperimentConfig_ExperimentName"> <summary> <para> <para>The name of an existing experiment to associate the trial component with.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.DataProcessing_InputFilter"> <summary> <para> <para>A <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html#data-processing-operators">JSONPath</a> expression used to select a portion of the input data to pass to the algorithm. Use the <code>InputFilter</code> parameter to exclude fields, such as an ID column, from the input. If you want Amazon SageMaker to pass the entire input dataset to the algorithm, accept the default value <code>$</code>.</para><para>Examples: <code>"$"</code>, <code>"$[1:]"</code>, <code>"$.features"</code></para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformResources_InstanceCount"> <summary> <para> <para>The number of ML compute instances to use in the transform job. For distributed transform jobs, specify a value greater than 1. The default value is <code>1</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformResources_InstanceType"> <summary> <para> <para>The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or <code>ml.m5.large</code> instance types.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.ModelClientConfig_InvocationsMaxRetry"> <summary> <para> <para>The maximum number of retries when invocation requests are failing.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.ModelClientConfig_InvocationsTimeoutInSecond"> <summary> <para> <para>The timeout value in seconds for an invocation request.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.DataProcessing_JoinSource"> <summary> <para> <para>Specifies the source of the data to join with the transformed data. The valid values are <code>None</code> and <code>Input</code>. The default value is <code>None</code>, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set <code>JoinSource</code> to <code>Input</code>. </para><para>For JSON or JSONLines objects, such as a JSON array, Amazon SageMaker adds the transformed data to the input JSON object in an attribute called <code>SageMakerOutput</code>. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, Amazon SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the <code>SageMakerInput</code> key and the results are stored in <code>SageMakerOutput</code>.</para><para>For CSV files, Amazon SageMaker combines the transformed data with the input data at the end of the input data and stores it in the output file. The joined data has the joined input data followed by the transformed data and the output is a CSV file. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformOutput_KmsKeyId"> <summary> <para> <para>The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The <code>KmsKeyId</code> can be any of the following formats: </para><ul><li><para>Key ID: <code>1234abcd-12ab-34cd-56ef-1234567890ab</code></para></li><li><para>Key ARN: <code>arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab</code></para></li><li><para>Alias name: <code>alias/ExampleAlias</code></para></li><li><para>Alias name ARN: <code>arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias</code></para></li></ul><para>If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html">KMS-Managed Encryption Keys</a> in the <i>Amazon Simple Storage Service Developer Guide.</i></para><para>The KMS key policy must grant permission to the IAM role that you specify in your <a>CreateModel</a> request. For more information, see <a href="http://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html">Using Key Policies in AWS KMS</a> in the <i>AWS Key Management Service Developer Guide</i>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.MaxConcurrentTransform"> <summary> <para> <para>The maximum number of parallel requests that can be sent to each instance in a transform job. If <code>MaxConcurrentTransforms</code> is set to <code>0</code> or left unset, Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is <code>1</code>. For more information on execution-parameters, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-batch-code.html#your-algorithms-batch-code-how-containe-serves-requests">How Containers Serve Requests</a>. For built-in algorithms, you don't need to set a value for <code>MaxConcurrentTransforms</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.MaxPayloadInMB"> <summary> <para> <para>The maximum allowed size of the payload, in MB. A <i>payload</i> is the data portion of a record (without metadata). The value in <code>MaxPayloadInMB</code> must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is <code>6</code> MB. </para><para>For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to <code>0</code>. This feature works only in supported algorithms. Currently, Amazon SageMaker built-in algorithms do not support HTTP chunked encoding.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.ModelName"> <summary> <para> <para>The name of the model that you want to use for the transform job. <code>ModelName</code> must be the name of an existing Amazon SageMaker model within an AWS Region in an AWS account.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.DataProcessing_OutputFilter"> <summary> <para> <para>A <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html#data-processing-operators">JSONPath</a> expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want Amazon SageMaker to store the entire input dataset in the output file, leave the default value, <code>$</code>. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.</para><para>Examples: <code>"$"</code>, <code>"$[0,5:]"</code>, <code>"$['id','SageMakerOutput']"</code></para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.S3DataSource_S3DataType"> <summary> <para> <para>If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform. </para><para>If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform. </para><para>The following values are compatible: <code>ManifestFile</code>, <code>S3Prefix</code></para><para>The following value is not compatible: <code>AugmentedManifestFile</code></para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformOutput_S3OutputPath"> <summary> <para> <para>The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, <code>s3://bucket-name/key-name-prefix</code>.</para><para>For every S3 object used as input for the transform job, batch transform stores the transformed data with an .<code>out</code> suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at <code>s3://bucket-name/input-name-prefix/dataset01/data.csv</code>, batch transform stores the transformed data at <code>s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out</code>. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .<code>out</code> file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.S3DataSource_S3Uri"> <summary> <para> <para>Depending on the value specified for the <code>S3DataType</code>, identifies either a key name prefix or a manifest. For example:</para><ul><li><para> A key name prefix might look like this: <code>s3://bucketname/exampleprefix</code>. </para></li><li><para> A manifest might look like this: <code>s3://bucketname/example.manifest</code></para><para> The manifest is an S3 object which is a JSON file with the following format: </para><para><code>[ {"prefix": "s3://customer_bucket/some/prefix/"},</code></para><para><code>"relative/path/to/custdata-1",</code></para><para><code>"relative/path/custdata-2",</code></para><para><code>...</code></para><para><code>"relative/path/custdata-N"</code></para><para><code>]</code></para><para> The preceding JSON matches the following <code>S3Uris</code>: </para><para><code>s3://customer_bucket/some/prefix/relative/path/to/custdata-1</code></para><para><code>s3://customer_bucket/some/prefix/relative/path/custdata-2</code></para><para><code>...</code></para><para><code>s3://customer_bucket/some/prefix/relative/path/custdata-N</code></para><para> The complete set of <code>S3Uris</code> in this manifest constitutes the input data for the channel for this datasource. The object that each <code>S3Uris</code> points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.</para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformInput_SplitType"> <summary> <para> <para>The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for <code>SplitType</code> is <code>None</code>, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to <code>Line</code> to split records on a newline character boundary. <code>SplitType</code> also supports a number of record-oriented binary data formats. Currently, the supported record formats are:</para><ul><li><para>RecordIO</para></li><li><para>TFRecord</para></li></ul><para>When splitting is enabled, the size of a mini-batch depends on the values of the <code>BatchStrategy</code> and <code>MaxPayloadInMB</code> parameters. When the value of <code>BatchStrategy</code> is <code>MultiRecord</code>, Amazon SageMaker sends the maximum number of records in each request, up to the <code>MaxPayloadInMB</code> limit. If the value of <code>BatchStrategy</code> is <code>SingleRecord</code>, Amazon SageMaker sends individual records in each request.</para><note><para>Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of <code>BatchStrategy</code> is set to <code>SingleRecord</code>. Padding is not removed if the value of <code>BatchStrategy</code> is set to <code>MultiRecord</code>.</para><para>For more information about <code>RecordIO</code>, see <a href="https://mxnet.apache.org/api/faq/recordio">Create a Dataset Using RecordIO</a> in the MXNet documentation. For more information about <code>TFRecord</code>, see <a href="https://www.tensorflow.org/guide/datasets#consuming_tfrecord_data">Consuming TFRecord data</a> in the TensorFlow documentation.</para></note> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.Tag"> <summary> <para> <para>(Optional) An array of key-value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User Guide</i>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformJobName"> <summary> <para> <para>The name of the transform job. The name must be unique within an AWS Region in an AWS account. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.ExperimentConfig_TrialComponentDisplayName"> <summary> <para> <para>The display name for the trial component. If this key isn't specified, the display name is the trial component name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.ExperimentConfig_TrialName"> <summary> <para> <para>The name of an existing trial to associate the trial component with. If not specified, a new trial is created.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.TransformResources_VolumeKmsKeyId"> <summary> <para> <para>The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job. The <code>VolumeKmsKeyId</code> can be any of the following formats:</para><ul><li><para>Key ID: <code>1234abcd-12ab-34cd-56ef-1234567890ab</code></para></li><li><para>Key ARN: <code>arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab</code></para></li><li><para>Alias name: <code>alias/ExampleAlias</code></para></li><li><para>Alias name ARN: <code>arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias</code></para></li></ul> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TransformJobArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateTransformJobResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateTransformJobResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TransformJobName parameter. The -PassThru parameter is deprecated, use -Select '^TransformJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTransformJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMTrialCmdlet"> <summary> Creates an Amazon SageMaker <i>trial</i>. A trial is a set of steps called <i>trial components</i> that produce a machine learning model. A trial is part of a single Amazon SageMaker <i>experiment</i>. <para> When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK. </para><para> You can add tags to a trial and then use the <a>Search</a> API to search for the tags. </para><para> To get a list of all your trials, call the <a>ListTrials</a> API. To view a trial's properties, call the <a>DescribeTrial</a> API. To create a trial component, call the <a>CreateTrialComponent</a> API. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialCmdlet.DisplayName"> <summary> <para> <para>The name of the trial as displayed. The name doesn't need to be unique. If <code>DisplayName</code> isn't specified, <code>TrialName</code> is displayed.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialCmdlet.ExperimentName"> <summary> <para> <para>The name of the experiment to associate the trial with.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialCmdlet.Tag"> <summary> <para> <para>A list of tags to associate with the trial. You can use <a>Search</a> API to search on the tags.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialCmdlet.TrialName"> <summary> <para> <para>The name of the trial. The name must be unique in your AWS account and is not case-sensitive.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrialArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateTrialResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateTrialResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrialName parameter. The -PassThru parameter is deprecated, use -Select '^TrialName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet"> <summary> Creates a <i>trial component</i>, which is a stage of a machine learning <i>trial</i>. A trial is composed of one or more trial components. A trial component can be used in multiple trials. <para> Trial components include pre-processing jobs, training jobs, and batch transform jobs. </para><para> When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK. </para><para> You can add tags to a trial component and then use the <a>Search</a> API to search for the tags. </para><note><para><code>CreateTrialComponent</code> can only be invoked from within an Amazon SageMaker managed environment. This includes Amazon SageMaker training jobs, processing jobs, transform jobs, and Amazon SageMaker notebooks. A call to <code>CreateTrialComponent</code> from outside one of these environments results in an error. </para></note> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.DisplayName"> <summary> <para> <para>The name of the component as displayed. The name doesn't need to be unique. If <code>DisplayName</code> isn't specified, <code>TrialComponentName</code> is displayed.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.EndTime"> <summary> <para> <para>When the component ended.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.InputArtifact"> <summary> <para> <para>The input artifacts for the component. Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.Status_Message"> <summary> <para> <para>If the component failed, a message describing why.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.OutputArtifact"> <summary> <para> <para>The output artifacts for the component. Examples of output artifacts are metrics, snapshots, logs, and images.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.Parameter"> <summary> <para> <para>The hyperparameters for the component.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.Status_PrimaryStatus"> <summary> <para> <para>The status of the trial component.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.StartTime"> <summary> <para> <para>When the component started.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.Tag"> <summary> <para> <para>A list of tags to associate with the component. You can use <a>Search</a> API to search on the tags.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.TrialComponentName"> <summary> <para> <para>The name of the component. The name must be unique in your AWS account and is not case-sensitive.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrialComponentArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateTrialComponentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateTrialComponentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrialComponentName parameter. The -PassThru parameter is deprecated, use -Select '^TrialComponentName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMTrialComponentCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMUserProfileCmdlet"> <summary> Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to Amazon SageMaker Studio. If an administrator invites a person by email or imports them from SSO, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System (EFS) home directory. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMUserProfileCmdlet.DomainId"> <summary> <para> <para>The ID of the associated Domain.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMUserProfileCmdlet.SingleSignOnUserIdentifier"> <summary> <para> <para>A specifier for the type of value specified in SingleSignOnUserValue. Currently, the only supported value is "UserName". If the Domain's AuthMode is SSO, this field is required. If the Domain's AuthMode is not SSO, this field cannot be specified. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMUserProfileCmdlet.SingleSignOnUserValue"> <summary> <para> <para>The username of the associated AWS Single Sign-On User for this UserProfile. If the Domain's AuthMode is SSO, this field is required, and must match a valid username of a user in your directory. If the Domain's AuthMode is not SSO, this field cannot be specified. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMUserProfileCmdlet.Tag"> <summary> <para> <para>Each tag consists of a key and an optional value. Tag keys must be unique per resource.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMUserProfileCmdlet.UserProfileName"> <summary> <para> <para>A name for the UserProfile.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMUserProfileCmdlet.UserSetting"> <summary> <para> <para>A collection of settings.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMUserProfileCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'UserProfileArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateUserProfileResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateUserProfileResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMUserProfileCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the UserProfileName parameter. The -PassThru parameter is deprecated, use -Select '^UserProfileName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMUserProfileCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet"> <summary> Use this operation to create a workforce. This operation will return an error if a workforce already exists in the AWS Region that you specify. You can only create one workforce in each AWS Region per AWS account. <para> If you want to create a new workforce in an AWS Region where a workforce already exists, use the API operation to delete the existing workforce and then use <code>CreateWorkforce</code> to create a new workforce. </para><para> To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in <code>CognitoConfig</code>. You can also create an Amazon Cognito workforce using the Amazon SageMaker console. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-create-private.html"> Create a Private Workforce (Amazon Cognito)</a>. </para><para> To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in <code>OidcConfig</code>. Your OIDC IdP must support <i>groups</i> because groups are used by Ground Truth and Amazon A2I to create work teams. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-create-private-oidc.html"> Create a Private Workforce (OIDC IdP)</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.OidcConfig_AuthorizationEndpoint"> <summary> <para> <para>The OIDC IdP authorization endpoint used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.SourceIpConfig_Cidr"> <summary> <para> <para>A list of one to ten <a href="https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html">Classless Inter-Domain Routing</a> (CIDR) values.</para><para>Maximum: Ten CIDR values</para><note><para>The following Length Constraints apply to individual CIDR values in the CIDR value list.</para></note> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.CognitoConfig_ClientId"> <summary> <para> <para>The client ID for your Amazon Cognito user pool.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.OidcConfig_ClientId"> <summary> <para> <para>The OIDC IdP client ID used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.OidcConfig_ClientSecret"> <summary> <para> <para>The OIDC IdP client secret used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.OidcConfig_Issuer"> <summary> <para> <para>The OIDC IdP issuer used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.OidcConfig_JwksUri"> <summary> <para> <para>The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.OidcConfig_LogoutEndpoint"> <summary> <para> <para>The OIDC IdP logout endpoint used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.Tag"> <summary> <para> <para>An array of key-value pairs that contain metadata to help you categorize and organize our workforce. Each tag consists of a key and a value, both of which you define.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.OidcConfig_TokenEndpoint"> <summary> <para> <para>The OIDC IdP token endpoint used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.OidcConfig_UserInfoEndpoint"> <summary> <para> <para>The OIDC IdP user information endpoint used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.CognitoConfig_UserPool"> <summary> <para> <para>A <a href="https://docs.aws.amazon.com/cognito/latest/developerguide/cognito-user-identity-pools.html"> user pool</a> is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Google, Facebook, Amazon, or Apple, and through SAML identity providers.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.WorkforceName"> <summary> <para> <para>The name of the private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'WorkforceArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateWorkforceResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateWorkforceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the WorkforceName parameter. The -PassThru parameter is deprecated, use -Select '^WorkforceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkforceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.NewSMWorkteamCmdlet"> <summary> Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team. <para> You cannot create more than 25 work teams in an account and region. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkteamCmdlet.Description"> <summary> <para> <para>A description of the work team.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkteamCmdlet.MemberDefinition"> <summary> <para> <para>A list of <code>MemberDefinition</code> objects that contains objects that identify the workers that make up the work team. </para><para>Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use <code>CognitoMemberDefinition</code>. For workforces created using your own OIDC identity provider (IdP) use <code>OidcMemberDefinition</code>. Do not provide input for both of these parameters in a single request.</para><para>For workforces created using Amazon Cognito, private work teams correspond to Amazon Cognito <i>user groups</i> within the user pool used to create a workforce. All of the <code>CognitoMemberDefinition</code> objects that make up the member definition must have the same <code>ClientId</code> and <code>UserPool</code> values. To add a Amazon Cognito user group to an existing worker pool, see <a href="">Adding groups to a User Pool</a>. For more information about user pools, see <a href="https://docs.aws.amazon.com/cognito/latest/developerguide/cognito-user-identity-pools.html">Amazon Cognito User Pools</a>.</para><para>For workforces created using your own OIDC IdP, specify the user groups that you want to include in your private work team in <code>OidcMemberDefinition</code> by listing those groups in <code>Groups</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkteamCmdlet.NotificationConfiguration_NotificationTopicArn"> <summary> <para> <para>The ARN for the SNS topic to which notifications should be published.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkteamCmdlet.Tag"> <summary> <para> <para>An array of key-value pairs.</para><para>For more information, see <a href="https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html">Resource Tag</a> and <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using Cost Allocation Tags</a> in the <i> AWS Billing and Cost Management User Guide</i>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkteamCmdlet.WorkforceName"> <summary> <para> <para>The name of the workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkteamCmdlet.WorkteamName"> <summary> <para> <para>The name of the work team. Use this name to identify the work team.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkteamCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'WorkteamArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateWorkteamResponse). Specifying the name of a property of type Amazon.SageMaker.Model.CreateWorkteamResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkteamCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the WorkteamName parameter. The -PassThru parameter is deprecated, use -Select '^WorkteamName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.NewSMWorkteamCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RegisterSMTrialComponentCmdlet"> <summary> Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the <a>DisassociateTrialComponent</a> API. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RegisterSMTrialComponentCmdlet.TrialComponentName"> <summary> <para> <para>The name of the component to associated with the trial.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RegisterSMTrialComponentCmdlet.TrialName"> <summary> <para> <para>The name of the trial to associate with.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RegisterSMTrialComponentCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.AssociateTrialComponentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.AssociateTrialComponentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RegisterSMTrialComponentCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrialComponentName parameter. The -PassThru parameter is deprecated, use -Select '^TrialComponentName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RegisterSMTrialComponentCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMAlgorithmCmdlet"> <summary> Removes the specified algorithm from your account. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAlgorithmCmdlet.AlgorithmName"> <summary> <para> <para>The name of the algorithm to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAlgorithmCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteAlgorithmResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAlgorithmCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the AlgorithmName parameter. The -PassThru parameter is deprecated, use -Select '^AlgorithmName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAlgorithmCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMAppCmdlet"> <summary> Used to stop and delete an app. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAppCmdlet.AppName"> <summary> <para> <para>The name of the app.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAppCmdlet.AppType"> <summary> <para> <para>The type of app.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAppCmdlet.DomainId"> <summary> <para> <para>The domain ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAppCmdlet.UserProfileName"> <summary> <para> <para>The user profile name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAppCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteAppResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAppCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the AppName parameter. The -PassThru parameter is deprecated, use -Select '^AppName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMAppCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMCodeRepositoryCmdlet"> <summary> Deletes the specified Git repository from your account. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMCodeRepositoryCmdlet.CodeRepositoryName"> <summary> <para> <para>The name of the Git repository to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMCodeRepositoryCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteCodeRepositoryResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMCodeRepositoryCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the CodeRepositoryName parameter. The -PassThru parameter is deprecated, use -Select '^CodeRepositoryName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMCodeRepositoryCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMDomainCmdlet"> <summary> Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using SSO. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMDomainCmdlet.DomainId"> <summary> <para> <para>The domain ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMDomainCmdlet.RetentionPolicy_HomeEfsFileSystem"> <summary> <para> <para>The default is <code>Retain</code>, which specifies to keep the data stored on the EFS volume.</para><para>Specify <code>Delete</code> to delete the data stored on the EFS volume.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMDomainCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteDomainResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMDomainCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the DomainId parameter. The -PassThru parameter is deprecated, use -Select '^DomainId' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMDomainCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMEndpointCmdlet"> <summary> Deletes an endpoint. Amazon SageMaker frees up all of the resources that were deployed when the endpoint was created. <para> Amazon SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the <a href="http://docs.aws.amazon.com/kms/latest/APIReference/API_RevokeGrant.html">RevokeGrant</a> API call. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMEndpointCmdlet.EndpointName"> <summary> <para> <para>The name of the endpoint that you want to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMEndpointCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteEndpointResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMEndpointCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the EndpointName parameter. The -PassThru parameter is deprecated, use -Select '^EndpointName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMEndpointCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMEndpointConfigCmdlet"> <summary> Deletes an endpoint configuration. The <code>DeleteEndpointConfig</code> API deletes only the specified configuration. It does not delete endpoints created using the configuration. <para> You must not delete an <code>EndpointConfig</code> in use by an endpoint that is live or while the <code>UpdateEndpoint</code> or <code>CreateEndpoint</code> operations are being performed on the endpoint. If you delete the <code>EndpointConfig</code> of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMEndpointConfigCmdlet.EndpointConfigName"> <summary> <para> <para>The name of the endpoint configuration that you want to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMEndpointConfigCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteEndpointConfigResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMEndpointConfigCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the EndpointConfigName parameter. The -PassThru parameter is deprecated, use -Select '^EndpointConfigName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMEndpointConfigCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMExperimentCmdlet"> <summary> Deletes an Amazon SageMaker experiment. All trials associated with the experiment must be deleted first. Use the <a>ListTrials</a> API to get a list of the trials associated with the experiment. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMExperimentCmdlet.ExperimentName"> <summary> <para> <para>The name of the experiment to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMExperimentCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'ExperimentArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteExperimentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DeleteExperimentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMExperimentCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ExperimentName parameter. The -PassThru parameter is deprecated, use -Select '^ExperimentName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMExperimentCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMFlowDefinitionCmdlet"> <summary> Deletes the specified flow definition. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMFlowDefinitionCmdlet.FlowDefinitionName"> <summary> <para> <para>The name of the flow definition you are deleting.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMFlowDefinitionCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteFlowDefinitionResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMFlowDefinitionCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the FlowDefinitionName parameter. The -PassThru parameter is deprecated, use -Select '^FlowDefinitionName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMFlowDefinitionCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMHumanTaskUiCmdlet"> <summary> Use this operation to delete a human task user interface (worker task template). <para> To see a list of human task user interfaces (work task templates) in your account, use . When you delete a worker task template, it no longer appears when you call <code>ListHumanTaskUis</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMHumanTaskUiCmdlet.HumanTaskUiName"> <summary> <para> <para>The name of the human task user interface (work task template) you want to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMHumanTaskUiCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteHumanTaskUiResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMHumanTaskUiCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the HumanTaskUiName parameter. The -PassThru parameter is deprecated, use -Select '^HumanTaskUiName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMHumanTaskUiCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMModelCmdlet"> <summary> Deletes a model. The <code>DeleteModel</code> API deletes only the model entry that was created in Amazon SageMaker when you called the <a>CreateModel</a> API. It does not delete model artifacts, inference code, or the IAM role that you specified when creating the model. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMModelCmdlet.ModelName"> <summary> <para> <para>The name of the model to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMModelCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteModelResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMModelCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ModelName parameter. The -PassThru parameter is deprecated, use -Select '^ModelName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMModelCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMModelPackageCmdlet"> <summary> Deletes a model package. <para> A model package is used to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMModelPackageCmdlet.ModelPackageName"> <summary> <para> <para>The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMModelPackageCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteModelPackageResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMModelPackageCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ModelPackageName parameter. The -PassThru parameter is deprecated, use -Select '^ModelPackageName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMModelPackageCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMMonitoringScheduleCmdlet"> <summary> Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMMonitoringScheduleCmdlet.MonitoringScheduleName"> <summary> <para> <para>The name of the monitoring schedule to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMMonitoringScheduleCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteMonitoringScheduleResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMMonitoringScheduleCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the MonitoringScheduleName parameter. The -PassThru parameter is deprecated, use -Select '^MonitoringScheduleName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMMonitoringScheduleCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMNotebookInstanceCmdlet"> <summary> Deletes an Amazon SageMaker notebook instance. Before you can delete a notebook instance, you must call the <code>StopNotebookInstance</code> API. <important><para> When you delete a notebook instance, you lose all of your data. Amazon SageMaker removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance. </para></important> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMNotebookInstanceCmdlet.NotebookInstanceName"> <summary> <para> <para>The name of the Amazon SageMaker notebook instance to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMNotebookInstanceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteNotebookInstanceResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMNotebookInstanceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMNotebookInstanceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMNotebookInstanceLifecycleConfigCmdlet"> <summary> Deletes a notebook instance lifecycle configuration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMNotebookInstanceLifecycleConfigCmdlet.NotebookInstanceLifecycleConfigName"> <summary> <para> <para>The name of the lifecycle configuration to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMNotebookInstanceLifecycleConfigCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteNotebookInstanceLifecycleConfigResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMNotebookInstanceLifecycleConfigCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceLifecycleConfigName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceLifecycleConfigName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMNotebookInstanceLifecycleConfigCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMResourceTagCmdlet"> <summary> Deletes the specified tags from an Amazon SageMaker resource. <para> To list a resource's tags, use the <code>ListTags</code> API. </para><note><para> When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API. </para></note> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMResourceTagCmdlet.ResourceArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the resource whose tags you want to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMResourceTagCmdlet.TagKey"> <summary> <para> <para>An array or one or more tag keys to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMResourceTagCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteTagsResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMResourceTagCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TagKey parameter. The -PassThru parameter is deprecated, use -Select '^TagKey' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMResourceTagCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMTrialCmdlet"> <summary> Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the <a>DescribeTrialComponent</a> API to get the list of trial components. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMTrialCmdlet.TrialName"> <summary> <para> <para>The name of the trial to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMTrialCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrialArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteTrialResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DeleteTrialResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMTrialCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrialName parameter. The -PassThru parameter is deprecated, use -Select '^TrialName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMTrialCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMTrialComponentCmdlet"> <summary> Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the <a>DisassociateTrialComponent</a> API. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMTrialComponentCmdlet.TrialComponentName"> <summary> <para> <para>The name of the component to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMTrialComponentCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrialComponentArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteTrialComponentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DeleteTrialComponentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMTrialComponentCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrialComponentName parameter. The -PassThru parameter is deprecated, use -Select '^TrialComponentName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMTrialComponentCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMUserProfileCmdlet"> <summary> Deletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMUserProfileCmdlet.DomainId"> <summary> <para> <para>The domain ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMUserProfileCmdlet.UserProfileName"> <summary> <para> <para>The user profile name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMUserProfileCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteUserProfileResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMUserProfileCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the UserProfileName parameter. The -PassThru parameter is deprecated, use -Select '^UserProfileName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMUserProfileCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMWorkforceCmdlet"> <summary> Use this operation to delete a workforce. <para> If you want to create a new workforce in an AWS Region where a workforce already exists, use this operation to delete the existing workforce and then use to create a new workforce. </para><important><para> If a private workforce contains one or more work teams, you must use the operation to delete all work teams before you delete the workforce. If you try to delete a workforce that contains one or more work teams, you will recieve a <code>ResourceInUse</code> error. </para></important> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMWorkforceCmdlet.WorkforceName"> <summary> <para> <para>The name of the workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMWorkforceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteWorkforceResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMWorkforceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the WorkforceName parameter. The -PassThru parameter is deprecated, use -Select '^WorkforceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMWorkforceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.RemoveSMWorkteamCmdlet"> <summary> Deletes an existing work team. This operation can't be undone. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMWorkteamCmdlet.WorkteamName"> <summary> <para> <para>The name of the work team to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMWorkteamCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Success'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DeleteWorkteamResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DeleteWorkteamResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMWorkteamCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the WorkteamName parameter. The -PassThru parameter is deprecated, use -Select '^WorkteamName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.RemoveSMWorkteamCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet"> <summary> Finds Amazon SageMaker resources that match a search query. Matching resources are returned as a list of <code>SearchRecord</code> objects in the response. You can sort the search results by any resource property in a ascending or descending order. <para> You can query against the following value types: numeric, text, Boolean, and timestamp. </para><br/><br/>This cmdlet automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. To disable autopagination, use -NoAutoIteration. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.SearchExpression_Filter"> <summary> <para> <para>A list of filter objects.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.SearchExpression_NestedFilter"> <summary> <para> <para>A list of nested filter objects.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.SearchExpression_Operator"> <summary> <para> <para>A Boolean operator used to evaluate the search expression. If you want every conditional statement in all lists to be satisfied for the entire search expression to be true, specify <code>And</code>. If only a single conditional statement needs to be true for the entire search expression to be true, specify <code>Or</code>. The default value is <code>And</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.Resource"> <summary> <para> <para>The name of the Amazon SageMaker resource to search for.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.SortBy"> <summary> <para> <para>The name of the resource property used to sort the <code>SearchResults</code>. The default is <code>LastModifiedTime</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.SortOrder"> <summary> <para> <para>How <code>SearchResults</code> are ordered. Valid values are <code>Ascending</code> or <code>Descending</code>. The default is <code>Descending</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.SearchExpression_SubExpression"> <summary> <para> <para>A list of search expression objects.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.MaxResult"> <summary> <para> <para>The maximum number of results to return.</para> </para> <para> <br/><b>Note:</b> In AWSPowerShell and AWSPowerShell.NetCore this parameter is used to limit the total number of items returned by the cmdlet. <br/>In AWS.Tools this parameter is simply passed to the service to specify how many items should be returned by each service call. <br/>Pipe the output of this cmdlet into Select-Object -First to terminate retrieving data pages early and control the number of items returned. </para> <para>If a value for this parameter is not specified the cmdlet will use a default value of '<b>100</b>'.</para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.NextToken"> <summary> <para> <para>If more than <code>MaxResults</code> resources match the specified <code>SearchExpression</code>, the response includes a <code>NextToken</code>. The <code>NextToken</code> can be passed to the next <code>SearchRequest</code> to continue retrieving results.</para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, use '-NextToken $null' for the first call and '-NextToken $AWSHistory.LastServiceResponse.NextToken' for subsequent calls. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Results'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.SearchResponse). Specifying the name of a property of type Amazon.SageMaker.Model.SearchResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the Resource parameter. The -PassThru parameter is deprecated, use -Select '^Resource' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.SearchSMResourceCmdlet.NoAutoIteration"> <summary> By default the cmdlet will auto-iterate and retrieve all results to the pipeline by performing multiple service calls. If set, the cmdlet will retrieve only the next 'page' of results using the value of NextToken as the start point. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StartSMMonitoringScheduleCmdlet"> <summary> Starts a previously stopped monitoring schedule. <note><para> New monitoring schedules are immediately started after creation. </para></note> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StartSMMonitoringScheduleCmdlet.MonitoringScheduleName"> <summary> <para> <para>The name of the schedule to start.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StartSMMonitoringScheduleCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StartMonitoringScheduleResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StartSMMonitoringScheduleCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the MonitoringScheduleName parameter. The -PassThru parameter is deprecated, use -Select '^MonitoringScheduleName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StartSMMonitoringScheduleCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StartSMNotebookInstanceCmdlet"> <summary> Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to <code>InService</code>. A notebook instance's status must be <code>InService</code> before you can connect to your Jupyter notebook. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StartSMNotebookInstanceCmdlet.NotebookInstanceName"> <summary> <para> <para>The name of the notebook instance to start.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StartSMNotebookInstanceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StartNotebookInstanceResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StartSMNotebookInstanceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StartSMNotebookInstanceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StopSMAutoMLJobCmdlet"> <summary> A method for forcing the termination of a running job. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMAutoMLJobCmdlet.AutoMLJobName"> <summary> <para> <para>The name of the object you are requesting.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMAutoMLJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StopAutoMLJobResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMAutoMLJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the AutoMLJobName parameter. The -PassThru parameter is deprecated, use -Select '^AutoMLJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMAutoMLJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StopSMCompilationJobCmdlet"> <summary> Stops a model compilation job. <para> To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal. </para><para> When it receives a <code>StopCompilationJob</code> request, Amazon SageMaker changes the <a>CompilationJobSummary$CompilationJobStatus</a> of the job to <code>Stopping</code>. After Amazon SageMaker stops the job, it sets the <a>CompilationJobSummary$CompilationJobStatus</a> to <code>Stopped</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMCompilationJobCmdlet.CompilationJobName"> <summary> <para> <para>The name of the model compilation job to stop.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMCompilationJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StopCompilationJobResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMCompilationJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the CompilationJobName parameter. The -PassThru parameter is deprecated, use -Select '^CompilationJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMCompilationJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StopSMHyperParameterTuningJobCmdlet"> <summary> Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched. <para> All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning job moves to the <code>Stopped</code> state, it releases all reserved resources for the tuning job. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMHyperParameterTuningJobCmdlet.HyperParameterTuningJobName"> <summary> <para> <para>The name of the tuning job to stop.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMHyperParameterTuningJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StopHyperParameterTuningJobResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMHyperParameterTuningJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the HyperParameterTuningJobName parameter. The -PassThru parameter is deprecated, use -Select '^HyperParameterTuningJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMHyperParameterTuningJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StopSMLabelingJobCmdlet"> <summary> Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMLabelingJobCmdlet.LabelingJobName"> <summary> <para> <para>The name of the labeling job to stop.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMLabelingJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StopLabelingJobResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMLabelingJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the LabelingJobName parameter. The -PassThru parameter is deprecated, use -Select '^LabelingJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMLabelingJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StopSMMonitoringScheduleCmdlet"> <summary> Stops a previously started monitoring schedule. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMMonitoringScheduleCmdlet.MonitoringScheduleName"> <summary> <para> <para>The name of the schedule to stop.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMMonitoringScheduleCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StopMonitoringScheduleResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMMonitoringScheduleCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the MonitoringScheduleName parameter. The -PassThru parameter is deprecated, use -Select '^MonitoringScheduleName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMMonitoringScheduleCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StopSMNotebookInstanceCmdlet"> <summary> Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage volume from it. Amazon SageMaker preserves the ML storage volume. Amazon SageMaker stops charging you for the ML compute instance when you call <code>StopNotebookInstance</code>. <para> To access data on the ML storage volume for a notebook instance that has been terminated, call the <code>StartNotebookInstance</code> API. <code>StartNotebookInstance</code> launches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMNotebookInstanceCmdlet.NotebookInstanceName"> <summary> <para> <para>The name of the notebook instance to terminate.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMNotebookInstanceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StopNotebookInstanceResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMNotebookInstanceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMNotebookInstanceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StopSMProcessingJobCmdlet"> <summary> Stops a processing job. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMProcessingJobCmdlet.ProcessingJobName"> <summary> <para> <para>The name of the processing job to stop.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMProcessingJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StopProcessingJobResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMProcessingJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ProcessingJobName parameter. The -PassThru parameter is deprecated, use -Select '^ProcessingJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMProcessingJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StopSMTrainingJobCmdlet"> <summary> Stops a training job. To stop a job, Amazon SageMaker sends the algorithm the <code>SIGTERM</code> signal, which delays job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the results of the training is not lost. <para> When it receives a <code>StopTrainingJob</code> request, Amazon SageMaker changes the status of the job to <code>Stopping</code>. After Amazon SageMaker stops the job, it sets the status to <code>Stopped</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMTrainingJobCmdlet.TrainingJobName"> <summary> <para> <para>The name of the training job to stop.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMTrainingJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StopTrainingJobResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMTrainingJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrainingJobName parameter. The -PassThru parameter is deprecated, use -Select '^TrainingJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMTrainingJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.StopSMTransformJobCmdlet"> <summary> Stops a transform job. <para> When Amazon SageMaker receives a <code>StopTransformJob</code> request, the status of the job changes to <code>Stopping</code>. After Amazon SageMaker stops the job, the status is set to <code>Stopped</code>. When you stop a transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMTransformJobCmdlet.TransformJobName"> <summary> <para> <para>The name of the transform job to stop.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMTransformJobCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.StopTransformJobResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMTransformJobCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TransformJobName parameter. The -PassThru parameter is deprecated, use -Select '^TransformJobName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.StopSMTransformJobCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UnregisterSMTrialComponentCmdlet"> <summary> Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the <a>AssociateTrialComponent</a> API. <para> To get a list of the trials a component is associated with, use the <a>Search</a> API. Specify <code>ExperimentTrialComponent</code> for the <code>Resource</code> parameter. The list appears in the response under <code>Results.TrialComponent.Parents</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UnregisterSMTrialComponentCmdlet.TrialComponentName"> <summary> <para> <para>The name of the component to disassociate from the trial.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UnregisterSMTrialComponentCmdlet.TrialName"> <summary> <para> <para>The name of the trial to disassociate from.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UnregisterSMTrialComponentCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.DisassociateTrialComponentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.DisassociateTrialComponentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UnregisterSMTrialComponentCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrialComponentName parameter. The -PassThru parameter is deprecated, use -Select '^TrialComponentName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UnregisterSMTrialComponentCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMCodeRepositoryCmdlet"> <summary> Updates the specified Git repository with the specified values. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMCodeRepositoryCmdlet.CodeRepositoryName"> <summary> <para> <para>The name of the Git repository to update.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMCodeRepositoryCmdlet.GitConfig_SecretArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of <code>AWSCURRENT</code> and must be in the following format:</para><para><code>{"username": <i>UserName</i>, "password": <i>Password</i>}</code></para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMCodeRepositoryCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'CodeRepositoryArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateCodeRepositoryResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateCodeRepositoryResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMCodeRepositoryCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the CodeRepositoryName parameter. The -PassThru parameter is deprecated, use -Select '^CodeRepositoryName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMCodeRepositoryCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMDomainCmdlet"> <summary> Updates the default settings for new user profiles in the domain. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMDomainCmdlet.DefaultUserSetting"> <summary> <para> <para>A collection of settings.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMDomainCmdlet.DomainId"> <summary> <para> <para>The ID of the domain to be updated.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMDomainCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'DomainArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateDomainResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateDomainResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMDomainCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the DomainId parameter. The -PassThru parameter is deprecated, use -Select '^DomainId' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMDomainCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointCmdlet"> <summary> Deploys the new <code>EndpointConfig</code> specified in the request, switches to using newly created endpoint, and then deletes resources provisioned for the endpoint using the previous <code>EndpointConfig</code> (there is no availability loss). <para> When Amazon SageMaker receives the request, it sets the endpoint status to <code>Updating</code>. After updating the endpoint, it sets the status to <code>InService</code>. To check the status of an endpoint, use the <a>DescribeEndpoint</a> API. </para><note><para> You must not delete an <code>EndpointConfig</code> in use by an endpoint that is live or while the <code>UpdateEndpoint</code> or <code>CreateEndpoint</code> operations are being performed on the endpoint. To update an endpoint, you must create a new <code>EndpointConfig</code>. </para><para> If you delete the <code>EndpointConfig</code> of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges. </para></note> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointCmdlet.EndpointConfigName"> <summary> <para> <para>The name of the new endpoint configuration.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointCmdlet.EndpointName"> <summary> <para> <para>The name of the endpoint whose configuration you want to update.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointCmdlet.ExcludeRetainedVariantProperty"> <summary> <para> <para>When you are updating endpoint resources with <a>UpdateEndpointInput$RetainAllVariantProperties</a>, whose value is set to <code>true</code>, <code>ExcludeRetainedVariantProperties</code> specifies the list of type <a>VariantProperty</a> to override with the values provided by <code>EndpointConfig</code>. If you don't specify a value for <code>ExcludeAllVariantProperties</code>, no variant properties are overridden. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointCmdlet.RetainAllVariantProperty"> <summary> <para> <para>When updating endpoint resources, enables or disables the retention of variant properties, such as the instance count or the variant weight. To retain the variant properties of an endpoint when updating it, set <code>RetainAllVariantProperties</code> to <code>true</code>. To use the variant properties specified in a new <code>EndpointConfig</code> call when updating an endpoint, set <code>RetainAllVariantProperties</code> to <code>false</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'EndpointArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateEndpointResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateEndpointResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the EndpointConfigName parameter. The -PassThru parameter is deprecated, use -Select '^EndpointConfigName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointWeightAndCapacityCmdlet"> <summary> Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint. When it receives the request, Amazon SageMaker sets the endpoint status to <code>Updating</code>. After updating the endpoint, it sets the status to <code>InService</code>. To check the status of an endpoint, use the <a>DescribeEndpoint</a> API. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointWeightAndCapacityCmdlet.DesiredWeightsAndCapacity"> <summary> <para> <para>An object that provides new capacity and weight values for a variant.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointWeightAndCapacityCmdlet.EndpointName"> <summary> <para> <para>The name of an existing Amazon SageMaker endpoint.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointWeightAndCapacityCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'EndpointArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateEndpointWeightsAndCapacitiesResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateEndpointWeightsAndCapacitiesResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointWeightAndCapacityCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the EndpointName parameter. The -PassThru parameter is deprecated, use -Select '^EndpointName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMEndpointWeightAndCapacityCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMExperimentCmdlet"> <summary> Adds, updates, or removes the description of an experiment. Updates the display name of an experiment. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMExperimentCmdlet.Description"> <summary> <para> <para>The description of the experiment.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMExperimentCmdlet.DisplayName"> <summary> <para> <para>The name of the experiment as displayed. The name doesn't need to be unique. If <code>DisplayName</code> isn't specified, <code>ExperimentName</code> is displayed.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMExperimentCmdlet.ExperimentName"> <summary> <para> <para>The name of the experiment to update.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMExperimentCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'ExperimentArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateExperimentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateExperimentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMExperimentCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ExperimentName parameter. The -PassThru parameter is deprecated, use -Select '^ExperimentName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMExperimentCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMMonitoringScheduleCmdlet"> <summary> Updates a previously created schedule. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMMonitoringScheduleCmdlet.MonitoringScheduleConfig"> <summary> <para> <para>The configuration object that specifies the monitoring schedule and defines the monitoring job.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMMonitoringScheduleCmdlet.MonitoringScheduleName"> <summary> <para> <para>The name of the monitoring schedule. The name must be unique within an AWS Region within an AWS account.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMMonitoringScheduleCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'MonitoringScheduleArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateMonitoringScheduleResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateMonitoringScheduleResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMMonitoringScheduleCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the MonitoringScheduleName parameter. The -PassThru parameter is deprecated, use -Select '^MonitoringScheduleName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMMonitoringScheduleCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet"> <summary> Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.AcceleratorType"> <summary> <para> <para>A list of the Elastic Inference (EI) instance types to associate with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html">Using Elastic Inference in Amazon SageMaker</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.AdditionalCodeRepository"> <summary> <para> <para>An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in <a href="https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html">AWS CodeCommit</a> or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html">Associating Git Repositories with Amazon SageMaker Notebook Instances</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.DefaultCodeRepository"> <summary> <para> <para>The Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in <a href="https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html">AWS CodeCommit</a> or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html">Associating Git Repositories with Amazon SageMaker Notebook Instances</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.DisassociateAcceleratorType"> <summary> <para> <para>A list of the Elastic Inference (EI) instance types to remove from this notebook instance. This operation is idempotent. If you specify an accelerator type that is not associated with the notebook instance when you call this method, it does not throw an error.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.DisassociateAdditionalCodeRepository"> <summary> <para> <para>A list of names or URLs of the default Git repositories to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.DisassociateDefaultCodeRepository"> <summary> <para> <para>The name or URL of the default Git repository to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.DisassociateLifecycleConfig"> <summary> <para> <para>Set to <code>true</code> to remove the notebook instance lifecycle configuration currently associated with the notebook instance. This operation is idempotent. If you specify a lifecycle configuration that is not associated with the notebook instance when you call this method, it does not throw an error.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.InstanceType"> <summary> <para> <para>The Amazon ML compute instance type.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.LifecycleConfigName"> <summary> <para> <para>The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html">Step 2.1: (Optional) Customize a Notebook Instance</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.NotebookInstanceName"> <summary> <para> <para>The name of the notebook instance to update.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.RoleArn"> <summary> <para> <para>The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access the notebook instance. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon SageMaker Roles</a>. </para><note><para>To be able to pass this role to Amazon SageMaker, the caller of this API must have the <code>iam:PassRole</code> permission.</para></note> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.RootAccess"> <summary> <para> <para>Whether root access is enabled or disabled for users of the notebook instance. The default value is <code>Enabled</code>.</para><note><para>If you set this to <code>Disabled</code>, users don't have root access on the notebook instance, but lifecycle configuration scripts still run with root permissions.</para></note> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.VolumeSizeInGB"> <summary> <para> <para>The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB. ML storage volumes are encrypted, so Amazon SageMaker can't determine the amount of available free space on the volume. Because of this, you can increase the volume size when you update a notebook instance, but you can't decrease the volume size. If you want to decrease the size of the ML storage volume in use, create a new notebook instance with the desired size.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateNotebookInstanceResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceLifecycleConfigCmdlet"> <summary> Updates a notebook instance lifecycle configuration created with the <a>CreateNotebookInstanceLifecycleConfig</a> API. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceLifecycleConfigCmdlet.NotebookInstanceLifecycleConfigName"> <summary> <para> <para>The name of the lifecycle configuration.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceLifecycleConfigCmdlet.OnCreate"> <summary> <para> <para>The shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceLifecycleConfigCmdlet.OnStart"> <summary> <para> <para>The shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceLifecycleConfigCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The cmdlet doesn't have a return value by default. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateNotebookInstanceLifecycleConfigResponse). Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceLifecycleConfigCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the NotebookInstanceLifecycleConfigName parameter. The -PassThru parameter is deprecated, use -Select '^NotebookInstanceLifecycleConfigName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMNotebookInstanceLifecycleConfigCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialCmdlet"> <summary> Updates the display name of a trial. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialCmdlet.DisplayName"> <summary> <para> <para>The name of the trial as displayed. The name doesn't need to be unique. If <code>DisplayName</code> isn't specified, <code>TrialName</code> is displayed.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialCmdlet.TrialName"> <summary> <para> <para>The name of the trial to update.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrialArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateTrialResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateTrialResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrialName parameter. The -PassThru parameter is deprecated, use -Select '^TrialName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet"> <summary> Updates one or more properties of a trial component. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.DisplayName"> <summary> <para> <para>The name of the component as displayed. The name doesn't need to be unique. If <code>DisplayName</code> isn't specified, <code>TrialComponentName</code> is displayed.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.EndTime"> <summary> <para> <para>When the component ended.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.InputArtifact"> <summary> <para> <para>Replaces all of the component's input artifacts with the specified artifacts.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.InputArtifactsToRemove"> <summary> <para> <para>The input artifacts to remove from the component.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.Status_Message"> <summary> <para> <para>If the component failed, a message describing why.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.OutputArtifact"> <summary> <para> <para>Replaces all of the component's output artifacts with the specified artifacts.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.OutputArtifactsToRemove"> <summary> <para> <para>The output artifacts to remove from the component.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.Parameter"> <summary> <para> <para>Replaces all of the component's hyperparameters with the specified hyperparameters.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.ParametersToRemove"> <summary> <para> <para>The hyperparameters to remove from the component.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.Status_PrimaryStatus"> <summary> <para> <para>The status of the trial component.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.StartTime"> <summary> <para> <para>When the component started.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.TrialComponentName"> <summary> <para> <para>The name of the component to update.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'TrialComponentArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateTrialComponentResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateTrialComponentResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the TrialComponentName parameter. The -PassThru parameter is deprecated, use -Select '^TrialComponentName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMTrialComponentCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMUserProfileCmdlet"> <summary> Updates a user profile. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMUserProfileCmdlet.DomainId"> <summary> <para> <para>The domain ID.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMUserProfileCmdlet.UserProfileName"> <summary> <para> <para>The user profile name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMUserProfileCmdlet.UserSetting"> <summary> <para> <para>A collection of settings.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMUserProfileCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'UserProfileArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateUserProfileResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateUserProfileResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMUserProfileCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the UserProfileName parameter. The -PassThru parameter is deprecated, use -Select '^UserProfileName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMUserProfileCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet"> <summary> Use this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration. <para> Use <code>SourceIpConfig</code> to restrict worker access to tasks to a specific range of IP addresses. You specify allowed IP addresses by creating a list of up to ten <a href="https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html">CIDRs</a>. By default, a workforce isn't restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks using any IP address outside the specified range are denied and get a <code>Not Found</code> error message on the worker portal. </para><para> Use <code>OidcConfig</code> to update the configuration of a workforce created using your own OIDC IdP. </para><important><para> You can only update your OIDC IdP configuration when there are no work teams associated with your workforce. You can delete work teams using the operation. </para></important><para> After restricting access to a range of IP addresses or updating your OIDC IdP configuration with this operation, you can view details about your update workforce using the operation. </para><important><para> This operation only applies to private workforces. </para></important> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.OidcConfig_AuthorizationEndpoint"> <summary> <para> <para>The OIDC IdP authorization endpoint used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.SourceIpConfig_Cidr"> <summary> <para> <para>A list of one to ten <a href="https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Subnets.html">Classless Inter-Domain Routing</a> (CIDR) values.</para><para>Maximum: Ten CIDR values</para><note><para>The following Length Constraints apply to individual CIDR values in the CIDR value list.</para></note> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.OidcConfig_ClientId"> <summary> <para> <para>The OIDC IdP client ID used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.OidcConfig_ClientSecret"> <summary> <para> <para>The OIDC IdP client secret used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.OidcConfig_Issuer"> <summary> <para> <para>The OIDC IdP issuer used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.OidcConfig_JwksUri"> <summary> <para> <para>The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.OidcConfig_LogoutEndpoint"> <summary> <para> <para>The OIDC IdP logout endpoint used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.OidcConfig_TokenEndpoint"> <summary> <para> <para>The OIDC IdP token endpoint used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.OidcConfig_UserInfoEndpoint"> <summary> <para> <para>The OIDC IdP user information endpoint used to configure your private workforce.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.WorkforceName"> <summary> <para> <para>The name of the private workforce that you want to update. You can find your workforce name by using the operation.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Workforce'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateWorkforceResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateWorkforceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the WorkforceName parameter. The -PassThru parameter is deprecated, use -Select '^WorkforceName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkforceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkteamCmdlet"> <summary> Updates an existing work team with new member definitions or description. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkteamCmdlet.Description"> <summary> <para> <para>An updated description for the work team.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkteamCmdlet.MemberDefinition"> <summary> <para> <para>A list of <code>MemberDefinition</code> objects that contains objects that identify the workers that make up the work team. </para><para>Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use <code>CognitoMemberDefinition</code>. For workforces created using your own OIDC identity provider (IdP) use <code>OidcMemberDefinition</code>. You should not provide input for both of these parameters in a single request.</para><para>For workforces created using Amazon Cognito, private work teams correspond to Amazon Cognito <i>user groups</i> within the user pool used to create a workforce. All of the <code>CognitoMemberDefinition</code> objects that make up the member definition must have the same <code>ClientId</code> and <code>UserPool</code> values. To add a Amazon Cognito user group to an existing worker pool, see <a href="">Adding groups to a User Pool</a>. For more information about user pools, see <a href="https://docs.aws.amazon.com/cognito/latest/developerguide/cognito-user-identity-pools.html">Amazon Cognito User Pools</a>.</para><para>For workforces created using your own OIDC IdP, specify the user groups that you want to include in your private work team in <code>OidcMemberDefinition</code> by listing those groups in <code>Groups</code>. Be aware that user groups that are already in the work team must also be listed in <code>Groups</code> when you make this request to remain on the work team. If you do not include these user groups, they will no longer be associated with the work team you update. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkteamCmdlet.NotificationConfiguration_NotificationTopicArn"> <summary> <para> <para>The ARN for the SNS topic to which notifications should be published.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkteamCmdlet.WorkteamName"> <summary> <para> <para>The name of the work team to update.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkteamCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is 'Workteam'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.UpdateWorkteamResponse). Specifying the name of a property of type Amazon.SageMaker.Model.UpdateWorkteamResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkteamCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the WorkteamName parameter. The -PassThru parameter is deprecated, use -Select '^WorkteamName' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.SM.UpdateSMWorkteamCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> </members> </doc> |