Class CreateDataSourceFromS3Request
- All Implemented Interfaces:
ReadLimitInfo
,Serializable
,Cloneable
- See Also:
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Field Summary
Fields inherited from class com.amazonaws.AmazonWebServiceRequest
NOOP
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionclone()
Creates a shallow clone of this request.boolean
The compute statistics for aDataSource
.A user-supplied identifier that uniquely identifies theDataSource
.A user-supplied name or description of theDataSource
.The data specification of aDataSource
:int
hashCode()
The compute statistics for aDataSource
.void
setComputeStatistics
(Boolean computeStatistics) The compute statistics for aDataSource
.void
setDataSourceId
(String dataSourceId) A user-supplied identifier that uniquely identifies theDataSource
.void
setDataSourceName
(String dataSourceName) A user-supplied name or description of theDataSource
.void
setDataSpec
(S3DataSpec dataSpec) The data specification of aDataSource
:toString()
Returns a string representation of this object; useful for testing and debugging.withComputeStatistics
(Boolean computeStatistics) The compute statistics for aDataSource
.withDataSourceId
(String dataSourceId) A user-supplied identifier that uniquely identifies theDataSource
.withDataSourceName
(String dataSourceName) A user-supplied name or description of theDataSource
.withDataSpec
(S3DataSpec dataSpec) The data specification of aDataSource
:Methods inherited from class com.amazonaws.AmazonWebServiceRequest
copyBaseTo, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
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Constructor Details
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CreateDataSourceFromS3Request
public CreateDataSourceFromS3Request()
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Method Details
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setDataSourceId
A user-supplied identifier that uniquely identifies the
DataSource
.- Parameters:
dataSourceId
- A user-supplied identifier that uniquely identifies theDataSource
.
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getDataSourceId
A user-supplied identifier that uniquely identifies the
DataSource
.- Returns:
- A user-supplied identifier that uniquely identifies the
DataSource
.
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withDataSourceId
A user-supplied identifier that uniquely identifies the
DataSource
.- Parameters:
dataSourceId
- A user-supplied identifier that uniquely identifies theDataSource
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setDataSourceName
A user-supplied name or description of the
DataSource
.- Parameters:
dataSourceName
- A user-supplied name or description of theDataSource
.
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getDataSourceName
A user-supplied name or description of the
DataSource
.- Returns:
- A user-supplied name or description of the
DataSource
.
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withDataSourceName
A user-supplied name or description of the
DataSource
.- Parameters:
dataSourceName
- A user-supplied name or description of theDataSource
.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setDataSpec
The data specification of a
DataSource
:-
DataLocationS3 - Amazon Simple Storage Service (Amazon S3) location of the observation data.
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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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
- Parameters:
dataSpec
- The data specification of aDataSource
:-
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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
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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 -
"{\"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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
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withDataSpec
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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
- Parameters:
dataSpec
- The data specification of aDataSource
:-
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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
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- Returns:
- Returns a reference to this object so that method calls can be chained together.
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setComputeStatistics
The compute statistics for a
DataSource
. The statistics are generated from the observation data referenced by aDataSource
. Amazon ML uses the statistics internally during anMLModel
training. This parameter must be set totrue
if theDataSource
needs to be used for
MLModel
training- Parameters:
computeStatistics
- The compute statistics for aDataSource
. The statistics are generated from the observation data referenced by aDataSource
. Amazon ML uses the statistics internally during anMLModel
training. This parameter must be set totrue
if theDataSource
needs to be used for
MLModel
training
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getComputeStatistics
The compute statistics for a
DataSource
. The statistics are generated from the observation data referenced by aDataSource
. Amazon ML uses the statistics internally during anMLModel
training. This parameter must be set totrue
if theDataSource
needs to be used for
MLModel
training- Returns:
- The compute statistics for a
DataSource
. The statistics are generated from the observation data referenced by aDataSource
. Amazon ML uses the statistics internally during anMLModel
training. This parameter must be set totrue
if theDataSource
needs to be used for
MLModel
training
-
withComputeStatistics
The compute statistics for a
DataSource
. The statistics are generated from the observation data referenced by aDataSource
. Amazon ML uses the statistics internally during anMLModel
training. This parameter must be set totrue
if theDataSource
needs to be used for
MLModel
training- Parameters:
computeStatistics
- The compute statistics for aDataSource
. The statistics are generated from the observation data referenced by aDataSource
. Amazon ML uses the statistics internally during anMLModel
training. This parameter must be set totrue
if theDataSource
needs to be used for
MLModel
training- Returns:
- Returns a reference to this object so that method calls can be chained together.
-
isComputeStatistics
The compute statistics for a
DataSource
. The statistics are generated from the observation data referenced by aDataSource
. Amazon ML uses the statistics internally during anMLModel
training. This parameter must be set totrue
if theDataSource
needs to be used for
MLModel
training- Returns:
- The compute statistics for a
DataSource
. The statistics are generated from the observation data referenced by aDataSource
. Amazon ML uses the statistics internally during anMLModel
training. This parameter must be set totrue
if theDataSource
needs to be used for
MLModel
training
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toString
Returns a string representation of this object; useful for testing and debugging. -
equals
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hashCode
public int hashCode() -
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 classAmazonWebServiceRequest
- See Also:
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