public class CreateBatchPredictionRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
CreateBatchPrediction operation.
 
 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.
 
NOOP| Constructor and Description | 
|---|
| CreateBatchPredictionRequest() | 
| Modifier and Type | Method and Description | 
|---|---|
| CreateBatchPredictionRequest | clone()Creates a shallow clone of this request. | 
| boolean | equals(Object obj) | 
| String | getBatchPredictionDataSourceId()The ID of the  DataSourcethat points to the group of
 observations to predict. | 
| String | getBatchPredictionId()A user-supplied ID that uniquely identifies the
  BatchPrediction. | 
| String | getBatchPredictionName()A user-supplied name or description of the
  BatchPrediction. | 
| String | getMLModelId()The ID of the  MLModelthat will generate predictions for
 the group of observations. | 
| String | getOutputUri()The location of an Amazon Simple Storage Service (Amazon S3) bucket or
 directory to store the batch prediction results. | 
| int | hashCode() | 
| void | setBatchPredictionDataSourceId(String batchPredictionDataSourceId)The ID of the  DataSourcethat points to the group of
 observations to predict. | 
| void | setBatchPredictionId(String batchPredictionId)A user-supplied ID that uniquely identifies the
  BatchPrediction. | 
| void | setBatchPredictionName(String batchPredictionName)A user-supplied name or description of the
  BatchPrediction. | 
| void | setMLModelId(String mLModelId)The ID of the  MLModelthat will generate predictions for
 the group of observations. | 
| void | setOutputUri(String outputUri)The location of an Amazon Simple Storage Service (Amazon S3) bucket or
 directory to store the batch prediction results. | 
| String | toString()Returns a string representation of this object; useful for testing and
 debugging. | 
| CreateBatchPredictionRequest | withBatchPredictionDataSourceId(String batchPredictionDataSourceId)The ID of the  DataSourcethat points to the group of
 observations to predict. | 
| CreateBatchPredictionRequest | withBatchPredictionId(String batchPredictionId)A user-supplied ID that uniquely identifies the
  BatchPrediction. | 
| CreateBatchPredictionRequest | withBatchPredictionName(String batchPredictionName)A user-supplied name or description of the
  BatchPrediction. | 
| CreateBatchPredictionRequest | withMLModelId(String mLModelId)The ID of the  MLModelthat will generate predictions for
 the group of observations. | 
| CreateBatchPredictionRequest | withOutputUri(String outputUri)The location of an Amazon Simple Storage Service (Amazon S3) bucket or
 directory to store the batch prediction results. | 
copyBaseTo, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestMetricCollector, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestMetricCollector, withGeneralProgressListener, withRequestMetricCollectorpublic String getBatchPredictionId()
BatchPrediction.
 
 Constraints:
 Length: 1 - 64
 Pattern: [a-zA-Z0-9_.-]+
BatchPrediction.public void setBatchPredictionId(String batchPredictionId)
BatchPrediction.
 
 Constraints:
 Length: 1 - 64
 Pattern: [a-zA-Z0-9_.-]+
batchPredictionId - A user-supplied ID that uniquely identifies the
         BatchPrediction.public CreateBatchPredictionRequest withBatchPredictionId(String batchPredictionId)
BatchPrediction.
 Returns a reference to this object so that method calls can be chained together.
 Constraints:
 Length: 1 - 64
 Pattern: [a-zA-Z0-9_.-]+
batchPredictionId - A user-supplied ID that uniquely identifies the
         BatchPrediction.public String getBatchPredictionName()
BatchPrediction. BatchPredictionName can
 only use the UTF-8 character set.
 
 Constraints:
 Length: 0 - 1024
 Pattern: .*\S.*|^$
BatchPrediction. BatchPredictionName can
         only use the UTF-8 character set.public void setBatchPredictionName(String batchPredictionName)
BatchPrediction. BatchPredictionName can
 only use the UTF-8 character set.
 
 Constraints:
 Length: 0 - 1024
 Pattern: .*\S.*|^$
batchPredictionName - A user-supplied name or description of the
         BatchPrediction. BatchPredictionName can
         only use the UTF-8 character set.public CreateBatchPredictionRequest withBatchPredictionName(String batchPredictionName)
BatchPrediction. BatchPredictionName can
 only use the UTF-8 character set.
 Returns a reference to this object so that method calls can be chained together.
 Constraints:
 Length: 0 - 1024
 Pattern: .*\S.*|^$
batchPredictionName - A user-supplied name or description of the
         BatchPrediction. BatchPredictionName can
         only use the UTF-8 character set.public String getMLModelId()
MLModel that will generate predictions for
 the group of observations.
 
 Constraints:
 Length: 1 - 64
 Pattern: [a-zA-Z0-9_.-]+
MLModel that will generate predictions for
         the group of observations.public void setMLModelId(String mLModelId)
MLModel that will generate predictions for
 the group of observations.
 
 Constraints:
 Length: 1 - 64
 Pattern: [a-zA-Z0-9_.-]+
mLModelId - The ID of the MLModel that will generate predictions for
         the group of observations.public CreateBatchPredictionRequest withMLModelId(String mLModelId)
MLModel that will generate predictions for
 the group of observations.
 Returns a reference to this object so that method calls can be chained together.
 Constraints:
 Length: 1 - 64
 Pattern: [a-zA-Z0-9_.-]+
mLModelId - The ID of the MLModel that will generate predictions for
         the group of observations.public String getBatchPredictionDataSourceId()
DataSource that points to the group of
 observations to predict.
 
 Constraints:
 Length: 1 - 64
 Pattern: [a-zA-Z0-9_.-]+
DataSource that points to the group of
         observations to predict.public void setBatchPredictionDataSourceId(String batchPredictionDataSourceId)
DataSource that points to the group of
 observations to predict.
 
 Constraints:
 Length: 1 - 64
 Pattern: [a-zA-Z0-9_.-]+
batchPredictionDataSourceId - The ID of the DataSource that points to the group of
         observations to predict.public CreateBatchPredictionRequest withBatchPredictionDataSourceId(String batchPredictionDataSourceId)
DataSource that points to the group of
 observations to predict.
 Returns a reference to this object so that method calls can be chained together.
 Constraints:
 Length: 1 - 64
 Pattern: [a-zA-Z0-9_.-]+
batchPredictionDataSourceId - The ID of the DataSource that points to the group of
         observations to predict.public String getOutputUri()
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.
 Constraints:
 Length: 0 - 2048
 Pattern: s3://([^/]+)(/.*)?
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.
public void setOutputUri(String outputUri)
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.
 Constraints:
 Length: 0 - 2048
 Pattern: s3://([^/]+)(/.*)?
outputUri - 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 key portion of the "outputURI"
         field: ':', '//', '/./', '/../'. 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.
public CreateBatchPredictionRequest withOutputUri(String outputUri)
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.
Returns a reference to this object so that method calls can be chained together.
 Constraints:
 Length: 0 - 2048
 Pattern: s3://([^/]+)(/.*)?
outputUri - 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 key portion of the "outputURI"
         field: ':', '//', '/./', '/../'. 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.
public String toString()
toString in class ObjectObject.toString()public CreateBatchPredictionRequest clone()
AmazonWebServiceRequestclone in class AmazonWebServiceRequestObject.clone()Copyright © 2015. All rights reserved.