com.amazonaws.services.machinelearning.model

Class CreateDataSourceFromS3Request

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.machinelearning.model.CreateDataSourceFromS3Request

All Implemented Interfaces:

ReadLimitInfo, Serializable, Cloneable

public class CreateDataSourceFromS3Request
extends AmazonWebServiceRequest
implements Serializable, Cloneable

See Also:

Serialized Form

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

NOOP

Constructor Summary

Constructors

Constructor and Description
CreateDataSourceFromS3Request()

Method Summary

Methods

Modifier and Type	Method and Description
CreateDataSourceFromS3Request	clone() Creates a shallow clone of this request.
boolean	equals(Object obj)
Boolean	getComputeStatistics() The compute statistics for a DataSource.
String	getDataSourceId() A user-supplied identifier that uniquely identifies the DataSource.
String	getDataSourceName() A user-supplied name or description of the DataSource.
S3DataSpec	getDataSpec() The data specification of a DataSource:
int	hashCode()
Boolean	isComputeStatistics() The compute statistics for a DataSource.
void	setComputeStatistics(Boolean computeStatistics) The compute statistics for a DataSource.
void	setDataSourceId(String dataSourceId) A user-supplied identifier that uniquely identifies the DataSource.
void	setDataSourceName(String dataSourceName) A user-supplied name or description of the DataSource.
void	setDataSpec(S3DataSpec dataSpec) The data specification of a DataSource:
String	toString() Returns a string representation of this object; useful for testing and debugging.
CreateDataSourceFromS3Request	withComputeStatistics(Boolean computeStatistics) The compute statistics for a DataSource.
CreateDataSourceFromS3Request	withDataSourceId(String dataSourceId) A user-supplied identifier that uniquely identifies the DataSource.
CreateDataSourceFromS3Request	withDataSourceName(String dataSourceName) A user-supplied name or description of the DataSource.
CreateDataSourceFromS3Request	withDataSpec(S3DataSpec dataSpec) The data specification of a DataSource:

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

copyBaseTo, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestMetricCollector, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestMetricCollector, withGeneralProgressListener, withRequestMetricCollector

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

CreateDataSourceFromS3Request

public CreateDataSourceFromS3Request()

Method Detail

setDataSourceId

public void setDataSourceId(String dataSourceId)

A user-supplied identifier that uniquely identifies the DataSource.

Parameters:

dataSourceId - A user-supplied identifier that uniquely identifies the DataSource.

getDataSourceId

public String getDataSourceId()

A user-supplied identifier that uniquely identifies the DataSource.

Returns:

A user-supplied identifier that uniquely identifies the DataSource.

withDataSourceId

public CreateDataSourceFromS3Request withDataSourceId(String dataSourceId)

A user-supplied identifier that uniquely identifies the DataSource.

Parameters:

dataSourceId - A user-supplied identifier that uniquely identifies the DataSource.

Returns:

Returns a reference to this object so that method calls can be chained together.

setDataSourceName

public void setDataSourceName(String dataSourceName)

A user-supplied name or description of the DataSource.

Parameters:

dataSourceName - A user-supplied name or description of the DataSource .

getDataSourceName

public String getDataSourceName()

A user-supplied name or description of the DataSource.

Returns:

A user-supplied name or description of the DataSource.

withDataSourceName

public CreateDataSourceFromS3Request withDataSourceName(String dataSourceName)

A user-supplied name or description of the DataSource.

Parameters:

dataSourceName - A user-supplied name or description of the DataSource .

Returns:

Returns a reference to this object so that method calls can be chained together.

setDataSpec

public void setDataSpec(S3DataSpec dataSpec)

The data specification of a DataSource:

• DataLocationS3 - Amazon Simple Storage Service (Amazon S3) location of the observation data.

• DataSchemaLocationS3 - Amazon S3 location of the DataSchema.

• DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

• DataRearrangement - A JSON string representing the splitting requirement of a Datasource.

  
  

  Sample - "{\"randomSeed\":\"some-random-seed\", \"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

Parameters:

dataSpec - The data specification of a DataSource:

• DataLocationS3 - Amazon Simple Storage Service (Amazon S3) location of the observation data.

• DataSchemaLocationS3 - Amazon S3 location of the DataSchema.

• DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

• DataRearrangement - A JSON string representing the splitting requirement of a Datasource.

  
  

  Sample - "{\"randomSeed\":\"some-random-seed\", \"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

getDataSpec

public S3DataSpec getDataSpec()

The data specification of a DataSource:

• DataLocationS3 - Amazon Simple Storage Service (Amazon S3) location of the observation data.

• DataSchemaLocationS3 - Amazon S3 location of the DataSchema.

• DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

• DataRearrangement - A JSON string representing the splitting requirement of a Datasource.

  
  

  Sample - "{\"randomSeed\":\"some-random-seed\", \"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

Returns:

The data specification of a DataSource:

• DataLocationS3 - Amazon Simple Storage Service (Amazon S3) location of the observation data.

• DataSchemaLocationS3 - Amazon S3 location of the DataSchema.

• DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

• DataRearrangement - A JSON string representing the splitting requirement of a Datasource.

  
  

  Sample - "{\"randomSeed\":\"some-random-seed\", \"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

withDataSpec

public CreateDataSourceFromS3Request withDataSpec(S3DataSpec dataSpec)

The data specification of a DataSource:

• DataLocationS3 - Amazon Simple Storage Service (Amazon S3) location of the observation data.

• DataSchemaLocationS3 - Amazon S3 location of the DataSchema.

• DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

• DataRearrangement - A JSON string representing the splitting requirement of a Datasource.

  
  

  Sample - "{\"randomSeed\":\"some-random-seed\", \"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

Parameters:

dataSpec - The data specification of a DataSource:

• DataLocationS3 - Amazon Simple Storage Service (Amazon S3) location of the observation data.

• DataSchemaLocationS3 - Amazon S3 location of the DataSchema.

• DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified.

• DataRearrangement - A JSON string representing the splitting requirement of a Datasource.

  
  

  Sample - "{\"randomSeed\":\"some-random-seed\", \"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

Returns:

Returns a reference to this object so that method calls can be chained together.

setComputeStatistics

public void setComputeStatistics(Boolean computeStatistics)

The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during an MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

Parameters:

computeStatistics - The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during an MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

getComputeStatistics

public Boolean getComputeStatistics()

The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during an MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

Returns:

The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during an MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

withComputeStatistics

public CreateDataSourceFromS3Request withComputeStatistics(Boolean computeStatistics)

The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during an MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

Parameters:

computeStatistics - The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during an MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

Returns:

Returns a reference to this object so that method calls can be chained together.

isComputeStatistics

public Boolean isComputeStatistics()

The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during an MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

Returns:

The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during an MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training

toString

public String toString()

Returns a string representation of this object; useful for testing and debugging.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public CreateDataSourceFromS3Request clone()

Description copied from class: AmazonWebServiceRequest

Creates a shallow clone of this request. Explicitly does not clone the deep structure of the request object.

Overrides:

clone in class AmazonWebServiceRequest

See Also:

Object.clone()