There are more AWS SDK examples available in the AWS Doc SDK Examples
Amazon ML examples using Tools for PowerShell
The following code examples show you how to perform actions and implement common scenarios by using the AWS Tools for PowerShell with Amazon ML.
Actions are code excerpts from larger programs and must be run in context. While actions show you how to call individual service functions, you can see actions in context in their related scenarios.
Each example includes a link to the complete source code, where you can find instructions on how to set up and run the code in context.
Topics
Actions
The following code example shows how to use Get-MLBatchPrediction.
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Example 1: Returns the detailed metadata for a batch prediction with id ID.
Get-MLBatchPrediction -BatchPredictionId ID-
For API details, see GetBatchPrediction in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use Get-MLBatchPredictionList.
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Example 1: Returns a list of all BatchPredictions and their associated data records that match the search criterion given in the request.
Get-MLBatchPredictionListExample 2: Returns a list of all BatchPredictions with a status of COMPLETED.
Get-MLBatchPredictionList -FilterVariable Status -EQ COMPLETED-
For API details, see DescribeBatchPredictions in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use Get-MLDataSource.
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Example 1: Returns the metadata, status, and data file information for a DataSource with the id ID
Get-MLDataSource -DataSourceId ID-
For API details, see GetDataSource in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use Get-MLDataSourceList.
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Example 1: Returns a list of all DataSources and their associated data records.
Get-MLDataSourceListExample 2: Returns a list of all DataSources with a status of COMPLETED.
Get-MLDataDourceList -FilterVariable Status -EQ COMPLETED-
For API details, see DescribeDataSources in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use Get-MLEvaluation.
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Example 1: Returns metadata and status for an Evaluation with id ID.
Get-MLEvaluation -EvaluationId ID-
For API details, see GetEvaluation in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use Get-MLEvaluationList.
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Example 1: Returns a list of all Evaluation resources
Get-MLEvaluationListExample 2: Returns a list of all Evaulations with a status of COMPLETED.
Get-MLEvaluationList -FilterVariable Status -EQ COMPLETED-
For API details, see DescribeEvaluations in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use Get-MLModel.
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Example 1: Returns the detail metadata, status, schema, and data file information for a MLModel with id ID.
Get-MLModel -ModelId ID-
For API details, see GetMLModel in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use Get-MLModelList.
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Example 1: Returns a list of all Models and their associated data records.
Get-MLModelListExample 2: Returns a list of all Models with a status of COMPLETED.
Get-MLModelList -FilterVariable Status -EQ COMPLETED-
For API details, see DescribeMLModels in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use Get-MLPrediction.
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Example 1: Send a record to the realtime prediction endpoint URL for Model with id ID.
Get-MLPrediction -ModelId ID -PredictEndpoint URL -Record @{"A" = "B"; "C" = "D";}-
For API details, see Predict in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use New-MLBatchPrediction.
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Example 1: Create a new batch prediction request for model with id ID and put the output at the specified S3 location.
New-MLBatchPrediction -ModelId ID -Name NAME -OutputURI s3://...-
For API details, see CreateBatchPrediction in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use New-MLDataSourceFromS3.
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Example 1: Create a data source with data for an S3 location, with a name of NAME and a schema of SCHEMA.
New-MLDataSourceFromS3 -Name NAME -ComputeStatistics $true -DataSpec_DataLocationS3 "s3://BUCKET/KEY" -DataSchema SCHEMA-
For API details, see CreateDataSourceFromS3 in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use New-MLEvaluation.
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Example 1: Create an evaluation for a given data source id and model id
New-MLEvaluation -Name NAME -DataSourceId DSID -ModelId MID-
For API details, see CreateEvaluation in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use New-MLModel.
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Example 1: Create a new model with training data.
New-MLModel -Name NAME -ModelType BINARY -Parameter @{...} -TrainingDataSourceId ID-
For API details, see CreateMLModel in AWS Tools for PowerShell Cmdlet Reference.
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The following code example shows how to use New-MLRealtimeEndpoint.
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Example 1: Create a new realtime prediction endpoint for the given model id.
New-MLRealtimeEndpoint -ModelId ID-
For API details, see CreateRealtimeEndpoint in AWS Tools for PowerShell Cmdlet Reference.
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