class_docstr: A wrapper around the output of the tf.Transform.
docstr: Creates a `TransformFeaturesLayer` from this transform output.
  
  If a `TransformFeaturesLayer` has already been created for self, the same
  one will be returned.
  
  Returns:
    A `TransformFeaturesLayer` instance.
docstr_tok: ["Creates","a","`","TransformFeaturesLayer","`","from","this","transform","output",".","If","a","`","TransformFeaturesLayer","`","has","already","been","created","for","self",",","the","same","one","will","be","returned",".","Returns",":","A","`","TransformFeaturesLayer","`","instance","."]
code: def transform_features_layer(self) -> tf_keras.Model:
      """Creates a `TransformFeaturesLayer` from this transform output.
  
      If a `TransformFeaturesLayer` has already been created for self, the same
      one will be returned.
  
      Returns:
        A `TransformFeaturesLayer` instance.
      """
      if self._transform_features_layer is None:
          self._transform_features_layer = TransformFeaturesLayer(
              self, exported_as_v1=self._exported_as_v1
          )
      return self._transform_features_layer
  
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 13 for calling the TFTransformOutput obj's underlying member method code with example usage: obj.transform_features_layer() and returns: self