/AWS1/CL_ML=>CREATEBATCHPREDICTION()¶
About CreateBatchPrediction¶
Generates predictions for a group of observations. The observations to process exist in one or more data files referenced
by a DataSource. This operation creates a new BatchPrediction, and uses an MLModel and the data
files referenced by the DataSource as information sources.
CreateBatchPrediction is an asynchronous operation. In response to CreateBatchPrediction,
Amazon Machine Learning (Amazon ML) immediately returns and sets the BatchPrediction status to PENDING.
After the BatchPrediction completes, Amazon ML sets the status to COMPLETED.
You can poll for status updates by using the GetBatchPrediction operation and checking the Status parameter of the result. After the COMPLETED status appears,
the results are available in the location specified by the OutputUri parameter.
Method Signature¶
IMPORTING¶
Required arguments:¶
IV_BATCHPREDICTIONID TYPE /AWS1/ML_ENTITYID /AWS1/ML_ENTITYID¶
A user-supplied ID that uniquely identifies the
BatchPrediction.
IV_MLMODELID TYPE /AWS1/ML_ENTITYID /AWS1/ML_ENTITYID¶
The ID of the
MLModelthat will generate predictions for the group of observations.
IV_BATCHPREDICTIONDATASRCID TYPE /AWS1/ML_ENTITYID /AWS1/ML_ENTITYID¶
The ID of the
DataSourcethat points to the group of observations to predict.
IV_OUTPUTURI TYPE /AWS1/ML_S3URL /AWS1/ML_S3URL¶
The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the
s3 keyportion of theoutputURIfield: ':', '//', '/./', '/../'.Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the Amazon Machine Learning Developer Guide.
Optional arguments:¶
IV_BATCHPREDICTIONNAME TYPE /AWS1/ML_ENTITYNAME /AWS1/ML_ENTITYNAME¶
A user-supplied name or description of the
BatchPrediction.BatchPredictionNamecan only use the UTF-8 character set.