class_docstr: A class for creating and interacting with SageMaker AutoML jobs.
docstr: Returns the job description of an AutoML job for the given job name.
  
  Args:
      job_name (str): The name of the AutoML job to describe.
          If None, will use object's latest_auto_ml_job name.
  
  Returns:
      dict: A dictionary response with the AutoML Job description.
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code: def describe_auto_ml_job(self, job_name=None):
      """Returns the job description of an AutoML job for the given job name.
  
      Args:
          job_name (str): The name of the AutoML job to describe.
              If None, will use object's latest_auto_ml_job name.
  
      Returns:
          dict: A dictionary response with the AutoML Job description.
      """
      if job_name is None:
          job_name = self.current_job_name
      self._auto_ml_job_desc = (
          self.sagemaker_session.describe_auto_ml_job(job_name)
      )
      return self._auto_ml_job_desc
  
imports: from __future__ import absolute_import
  import logging
  from typing import Optional, List, Dict
  from six import string_types
  from sagemaker import Model, PipelineModel, s3
  from sagemaker.automl.candidate_estimator import CandidateEstimator
  from sagemaker.config import AUTO_ML_ROLE_ARN_PATH, AUTO_ML_KMS_KEY_ID_PATH, AUTO_ML_VPC_CONFIG_PATH, AUTO_ML_VOLUME_KMS_KEY_ID_PATH, AUTO_ML_INTER_CONTAINER_ENCRYPTION_PATH
  from sagemaker.job import _Job
  from sagemaker.session import Session
  from sagemaker.utils import name_from_base, resolve_value_from_config, format_tags, Tags
  from sagemaker.workflow.entities import PipelineVariable
  from sagemaker.workflow.pipeline_context import runnable_by_pipeline
label_desc: Use image node_id 4 for calling the AutoML obj's underlying member method code with example usage: obj.describe_auto_ml_job(job_name) and returns: self