Class CreateDataSourceFromS3Request

    • 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 - "{\"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:
        Object.toString()
      • hashCode

        public int hashCode()
        Overrides:
        hashCode in class Object