class_docstr: Class for interacting with Vertex CustomJob.
class_docstr_tok: ["Class","for","interacting","with","Vertex","CustomJob","."]
code: def __init__(self, vertex_region: str):
      if vertex_region is None:
          raise ValueError(
              "Please specify a region for Vertex training."
          )
      self._region = vertex_region
      super().__init__()
  
imports: import abc
  import datetime
  import json
  import random
  from typing import Any, Dict, List, Optional, Union
  from absl import logging
  from google.api_core import retry
  from google.cloud.aiplatform import gapic
  from google.cloud.aiplatform_v1.types.custom_job import CustomJob
  from google.cloud.aiplatform_v1.types.job_state import JobState
  from googleapiclient import discovery
  from tfx import types
  from tfx.types import artifact_utils
  from tfx.utils import telemetry_utils
  from tfx.utils import version_utils
label_desc: Use image node_id 1 to create a new VertexJobClient object from inherited base classes: AbstractJobClient with example: obj = VertexJobClient(vertex_region)