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:
  • Constructor Details

    • CreateDataSourceFromS3Request

      public CreateDataSourceFromS3Request()
  • Method Details

    • 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 - "{\"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 - "{\"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 - "{\"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}}"

    • 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 - "{\"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 - "{\"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:
    • equals

      public boolean equals(Object obj)
      Overrides:
      equals in class Object
    • hashCode

      public int hashCode()
      Overrides:
      hashCode in class Object
    • 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: