class_docstr: Chicago taxi dataset.
class_docstr_tok: ["Chicago","taxi","dataset","."]
code: def tfma_saved_model_path(self):
      return self.datasets_dir("chicago_taxi/model/tfma_saved_model")
  
imports: import itertools
  import math
  import os
  import shutil
  import tempfile
  from typing import Optional
  from absl import logging
  import apache_beam
  import tensorflow_transform
  from tfx import components
  from tfx.benchmarks import benchmark_dataset
  from tfx.components.example_gen.csv_example_gen import executor
  from tfx.examples.chicago_taxi_pipeline import taxi_utils
  from tfx.orchestration import metadata
  from tfx.orchestration import pipeline
  from tfx.orchestration.beam.beam_dag_runner import BeamDagRunner
  from tfx.proto import trainer_pb2
  from tfx_bsl.coders import csv_decoder
label_desc: Use image node_id 5 for calling the ChicagoTaxiDataset obj's underlying member method code with example usage: obj.tfma_saved_model_path() and returns: self