ray.data.Dataset ================ .. currentmodule:: ray.data .. autoclass:: Dataset :show-inheritance: .. rubric:: Methods .. autosummary:: :toctree: ~Dataset.__init__ ~Dataset.add_column ~Dataset.aggregate ~Dataset.cache ~Dataset.count ~Dataset.dataset_format ~Dataset.default_batch_format ~Dataset.deserialize_lineage ~Dataset.drop_columns ~Dataset.filter ~Dataset.flat_map ~Dataset.fully_executed ~Dataset.get_internal_block_refs ~Dataset.groupby ~Dataset.has_serializable_lineage ~Dataset.input_files ~Dataset.is_cached ~Dataset.is_fully_executed ~Dataset.iter_batches ~Dataset.iter_rows ~Dataset.iter_tf_batches ~Dataset.iter_torch_batches ~Dataset.iterator ~Dataset.lazy ~Dataset.limit ~Dataset.map ~Dataset.map_batches ~Dataset.max ~Dataset.mean ~Dataset.min ~Dataset.num_blocks ~Dataset.random_sample ~Dataset.random_shuffle ~Dataset.randomize_block_order ~Dataset.repartition ~Dataset.repeat ~Dataset.schema ~Dataset.select_columns ~Dataset.serialize_lineage ~Dataset.show ~Dataset.size_bytes ~Dataset.sort ~Dataset.split ~Dataset.split_at_indices ~Dataset.split_proportionately ~Dataset.stats ~Dataset.std ~Dataset.streaming_split ~Dataset.sum ~Dataset.take ~Dataset.take_all ~Dataset.to_arrow_refs ~Dataset.to_dask ~Dataset.to_mars ~Dataset.to_modin ~Dataset.to_numpy_refs ~Dataset.to_pandas ~Dataset.to_pandas_refs ~Dataset.to_random_access_dataset ~Dataset.to_spark ~Dataset.to_tf ~Dataset.to_torch ~Dataset.train_test_split ~Dataset.union ~Dataset.window ~Dataset.write_csv ~Dataset.write_datasource ~Dataset.write_json ~Dataset.write_mongo ~Dataset.write_numpy ~Dataset.write_parquet ~Dataset.write_tfrecords ~Dataset.zip