class_docstr: Chicago taxi dataset.
class_docstr_tok: ["Chicago","taxi","dataset","."]
code: def generate_raw_dataset(self, args):
      logging.warn(
          "Not actually regenerating the raw dataset.\n"
          "To regenerate the raw CSV dataset, see the TFX Chicago Taxi example "
          "for details as to how to do so. "
          "tfx/examples/chicago_taxi_pipeline/taxi_pipeline_kubeflow_gcp.py "
          "has the BigQuery query used to generate the dataset.\n"
          "After regenerating the raw CSV dataset, you should also regenerate "
          "the derived TFRecords dataset. You can do so by passing "
          "--generate_dataset_args=/path/to/csv_dataset.csv to "
          "regenerate_datasets.py."
      )
  
      if args:
          logging.info("Converting CSV at %s to TFRecords", args)
          self.convert_csv_to_tf_examples(args, self.dataset_path())
          logging.info("TFRecords written to %s", self.dataset_path())
  
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 9 for calling the ChicagoTaxiDataset obj's underlying member method code with example usage: obj.generate_raw_dataset(args) without return types