public class CreateDataSourceFromS3Request extends AmazonWebServiceRequest implements java.io.Serializable, java.lang.Cloneable
Modifier and Type | Field and Description |
---|---|
private java.lang.Boolean |
computeStatistics
The compute statistics for a
DataSource . |
private java.lang.String |
dataSourceId
A user-supplied identifier that uniquely identifies the
DataSource . |
private java.lang.String |
dataSourceName
A user-supplied name or description of the
DataSource . |
private S3DataSpec |
dataSpec
The data specification of a
DataSource : |
NOOP
Constructor and Description |
---|
CreateDataSourceFromS3Request() |
Modifier and Type | Method and Description |
---|---|
CreateDataSourceFromS3Request |
clone()
Creates a shallow clone of this request.
|
boolean |
equals(java.lang.Object obj) |
java.lang.Boolean |
getComputeStatistics()
The compute statistics for a
DataSource . |
java.lang.String |
getDataSourceId()
A user-supplied identifier that uniquely identifies the
DataSource . |
java.lang.String |
getDataSourceName()
A user-supplied name or description of the
DataSource . |
S3DataSpec |
getDataSpec()
The data specification of a
DataSource : |
int |
hashCode() |
java.lang.Boolean |
isComputeStatistics()
The compute statistics for a
DataSource . |
void |
setComputeStatistics(java.lang.Boolean computeStatistics)
The compute statistics for a
DataSource . |
void |
setDataSourceId(java.lang.String dataSourceId)
A user-supplied identifier that uniquely identifies the
DataSource . |
void |
setDataSourceName(java.lang.String dataSourceName)
A user-supplied name or description of the
DataSource . |
void |
setDataSpec(S3DataSpec dataSpec)
The data specification of a
DataSource : |
java.lang.String |
toString()
Returns a string representation of this object; useful for testing and
debugging.
|
CreateDataSourceFromS3Request |
withComputeStatistics(java.lang.Boolean computeStatistics)
The compute statistics for a
DataSource . |
CreateDataSourceFromS3Request |
withDataSourceId(java.lang.String dataSourceId)
A user-supplied identifier that uniquely identifies the
DataSource . |
CreateDataSourceFromS3Request |
withDataSourceName(java.lang.String dataSourceName)
A user-supplied name or description of the
DataSource . |
CreateDataSourceFromS3Request |
withDataSpec(S3DataSpec dataSpec)
The data specification of a
DataSource : |
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
private java.lang.String dataSourceId
A user-supplied identifier that uniquely identifies the
DataSource
.
private java.lang.String dataSourceName
A user-supplied name or description of the DataSource
.
private 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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
private java.lang.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
public void setDataSourceId(java.lang.String dataSourceId)
A user-supplied identifier that uniquely identifies the
DataSource
.
dataSourceId
- A user-supplied identifier that uniquely identifies the
DataSource
.public java.lang.String getDataSourceId()
A user-supplied identifier that uniquely identifies the
DataSource
.
DataSource
.public CreateDataSourceFromS3Request withDataSourceId(java.lang.String dataSourceId)
A user-supplied identifier that uniquely identifies the
DataSource
.
dataSourceId
- A user-supplied identifier that uniquely identifies the
DataSource
.public void setDataSourceName(java.lang.String dataSourceName)
A user-supplied name or description of the DataSource
.
dataSourceName
- A user-supplied name or description of the DataSource
.public java.lang.String getDataSourceName()
A user-supplied name or description of the DataSource
.
DataSource
.public CreateDataSourceFromS3Request withDataSourceName(java.lang.String dataSourceName)
A user-supplied name or description of the DataSource
.
dataSourceName
- A user-supplied name or description of the DataSource
.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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
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}}"
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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
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 -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
public void setComputeStatistics(java.lang.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
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
trainingpublic java.lang.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
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
trainingpublic CreateDataSourceFromS3Request withComputeStatistics(java.lang.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
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
trainingpublic java.lang.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
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
trainingpublic java.lang.String toString()
toString
in class java.lang.Object
Object.toString()
public boolean equals(java.lang.Object obj)
equals
in class java.lang.Object
public int hashCode()
hashCode
in class java.lang.Object
public CreateDataSourceFromS3Request clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()