Class CreateDataSourceFromS3Request

    • Method Detail

      • dataSourceId

        public final String dataSourceId()

        A user-supplied identifier that uniquely identifies the DataSource.

        Returns:
        A user-supplied identifier that uniquely identifies the DataSource.
      • dataSourceName

        public final String dataSourceName()

        A user-supplied name or description of the DataSource.

        Returns:
        A user-supplied name or description of the DataSource.
      • dataSpec

        public final S3DataSpec dataSpec()

        The data specification of a DataSource:

        • DataLocationS3 - The Amazon S3 location of the observation data.

        • DataSchemaLocationS3 - The 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 that represents the splitting and rearrangement requirements for the Datasource.

          Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

        Returns:
        The data specification of a DataSource:

        • DataLocationS3 - The Amazon S3 location of the observation data.

        • DataSchemaLocationS3 - The 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 that represents the splitting and rearrangement requirements for the Datasource.

          Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

      • computeStatistics

        public final 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 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 MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.
      • toString

        public final String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object