class_docstr: View of statistics for a dataset (slice).
class_docstr_tok: ["View","of","statistics","for","a","dataset","(","slice",")","."]
docstr: Lists cross-feature identifiers.
docstr_tok: ["Lists","cross-feature","identifiers","."]
code: def list_cross_features(
      self,
  ) -> Iterable[Tuple[types.FeaturePath, types.FeaturePath]]:
      """Lists cross-feature identifiers."""
      self._init_index()
      return self._cross_feature_map.keys()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  from typing import Dict, Iterable, Optional, Sequence, Text, Tuple, Union
  import numpy
  import pyarrow
  import tensorflow
  from tensorflow_data_validation import constants
  from tensorflow_data_validation import types
  from tensorflow_data_validation.arrow import arrow_util
  from tensorflow_data_validation.utils import artifacts_io_impl
  from tensorflow_data_validation.utils import io_util
  from tfx_bsl import statistics
  from tfx_bsl.arrow import array_util
  from google.protobuf import text_format
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 7 for calling the DatasetView obj's underlying member method code with example usage: obj.list_cross_features() and returns: self