class_docstr: A wrapper around the output of the tf.Transform.
docstr: A DatasetMetadata.
docstr_tok: ["A","DatasetMetadata","."]
code: def transformed_metadata(self) -> dataset_metadata.DatasetMetadata:
      """A DatasetMetadata."""
      if self._transformed_metadata is None:
          self._transformed_metadata = metadata_io.read_metadata(
              self._transformed_metadata_dir
          )
      return self._transformed_metadata
  
imports: import json
  import os
  from typing import Any, Dict, List, Mapping, Optional
  import numpy
  import tensorflow
  from tensorflow_transform import common
  from tensorflow_transform import common_types
  from tensorflow_transform import graph_tools
  from tensorflow_transform.analyzers import sanitized_vocab_filename
  from tensorflow_transform.keras_lib import tf_keras
  from tensorflow_transform.saved import saved_transform_io
  from tensorflow_transform.saved import saved_transform_io_v2
  from tensorflow_transform.tf_metadata import dataset_metadata
  from tensorflow_transform.tf_metadata import metadata_io
  from tensorflow_transform.tf_metadata import schema_utils
  from tensorflow.python.framework import ops
  from tensorflow.tools.docs import doc_controls
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 2 for calling the TFTransformOutput obj's underlying member method code with example usage: obj.transformed_metadata() and returns: self