class_docstr: A class for SageMaker AutoML Job Candidate
docstr: Constructor of CandidateEstimator.
  
  Args:
      candidate (dict): a dictionary of candidate returned by AutoML.list_candidates()
          or AutoML.best_candidate().
      sagemaker_session (sagemaker.session.Session): A SageMaker Session
          object, used for SageMaker interactions (default: None). If not
          specified, one is created using the default AWS configuration
          chain.
docstr_tok: ["Constructor","of","CandidateEstimator",".","Args",":","candidate","(","dict",")",":","a","dictionary","of","candidate","returned","by","AutoML.list_candidates","(",")","or","AutoML.best_candidate","(",")",".","sagemaker_session","(","sagemaker.session.Session",")",":","A","SageMaker","Session","object",",","used","for","SageMaker","interactions","(","default",":","None",")",".","If","not","specified",",","one","is","created","using","the","default","AWS","configuration","chain","."]
code: def __init__(self, candidate, sagemaker_session=None):
      """Constructor of CandidateEstimator.
  
      Args:
          candidate (dict): a dictionary of candidate returned by AutoML.list_candidates()
              or AutoML.best_candidate().
          sagemaker_session (sagemaker.session.Session): A SageMaker Session
              object, used for SageMaker interactions (default: None). If not
              specified, one is created using the default AWS configuration
              chain.
      """
      self.name = candidate["CandidateName"]
      self.containers = candidate["InferenceContainers"]
      self.steps = self._process_steps(candidate["CandidateSteps"])
      self.sagemaker_session = sagemaker_session or Session()
  
imports: from __future__ import absolute_import
  from six import string_types
  from sagemaker.config import TRAINING_JOB_VPC_CONFIG_PATH, TRAINING_JOB_VOLUME_KMS_KEY_ID_PATH, TRAINING_JOB_INTER_CONTAINER_ENCRYPTION_PATH
  from sagemaker.session import Session
  from sagemaker.job import _Job
  from sagemaker.utils import name_from_base, resolve_value_from_config
label_desc: Use image node_id 1 to create a new CandidateEstimator object from inherited base classes: object with example: obj = CandidateEstimator(candidate, sagemaker_session)