class_docstr: Metadata about a dataset used for the "instance dict" format.
  
  Caution: The "instance dict" format used with `DatasetMetadata` is much less
  efficient than TFXIO. For any serious workloads you should use TFXIO with a
  `tfxio.TensorAdapterConfig` instance as the metadata. Refer to
  [Get started with TF-Transform](https://www.tensorflow.org/tfx/transform/get_started#data_formats_and_schema)
  for more details.
  
  This is an in-memory representation that may be serialized and deserialized to
  and from a variety of disk representations.
class_docstr_tok: ["Metadata","about","a","dataset","used","for","the","``","instance","dict","''","format",".","Caution",":","The","``","instance","dict","''","format","used","with","`","DatasetMetadata","`","is","much","less","efficient","than","TFXIO",".","For","any","serious","workloads","you","should","use","TFXIO","with","a","`","tfxio.TensorAdapterConfig","`","instance","as","the","metadata",".","Refer","to","[","Get","started","with","TF-Transform","]","(","https",":","\/\/www.tensorflow.org\/tfx\/transform\/get_started","#","data_formats_and_schema",")","for","more","details",".","This","is","an","in-memory","representation","that","may","be","serialized","and","deserialized","to","and","from","a","variety","of","disk","representations","."]
code: def __eq__(self, other):
      if isinstance(other, self.__class__):
          return self.schema == other.schema
      return NotImplemented
  
file_path: transform/tensorflow_transform/tf_metadata/dataset_metadata.py
imports: from typing import Mapping, Optional, Type, TypeVar
  from tensorflow_transform import common_types
  from tensorflow_transform.tf_metadata import schema_utils
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 4 for calling the DatasetMetadata obj's underlying member method code with example usage: obj.__eq__(other) and returns: NotImplemented, unknown