class_docstr: Fetch results about a hyperparameter tuning job and make them accessible for analytics.
docstr: Initialize a ``HyperparameterTuningJobAnalytics`` instance.
  
  Args:
      hyperparameter_tuning_job_name (str): name of the
          HyperparameterTuningJob to analyze.
      sagemaker_session (sagemaker.session.Session): Session object which
          manages interactions with Amazon SageMaker APIs and any other
          AWS services needed. If not specified, one is created using the
          default AWS configuration chain.
docstr_tok: ["Initialize","a","``","HyperparameterTuningJobAnalytics","``","instance",".","Args",":","hyperparameter_tuning_job_name","(","str",")",":","name","of","the","HyperparameterTuningJob","to","analyze",".","sagemaker_session","(","sagemaker.session.Session",")",":","Session","object","which","manages","interactions","with","Amazon","SageMaker","APIs","and","any","other","AWS","services","needed",".","If","not","specified",",","one","is","created","using","the","default","AWS","configuration","chain","."]
code: def __init__(
      self, hyperparameter_tuning_job_name, sagemaker_session=None
  ):
      """Initialize a ``HyperparameterTuningJobAnalytics`` instance.
  
      Args:
          hyperparameter_tuning_job_name (str): name of the
              HyperparameterTuningJob to analyze.
          sagemaker_session (sagemaker.session.Session): Session object which
              manages interactions with Amazon SageMaker APIs and any other
              AWS services needed. If not specified, one is created using the
              default AWS configuration chain.
      """
      sagemaker_session = sagemaker_session or Session()
      self._sage_client = sagemaker_session.sagemaker_client
      self._tuning_job_name = hyperparameter_tuning_job_name
      self._tuning_job_describe_result = None
      self._training_job_summaries = None
      super(HyperparameterTuningJobAnalytics, self).__init__()
      self.clear_cache()
  
imports: from __future__ import print_function, absolute_import
  from abc import ABCMeta, abstractmethod
  from collections import defaultdict, OrderedDict
  import datetime
  import logging
  from six import with_metaclass
  from sagemaker.session import Session
  from sagemaker.utils import DeferredError
  from sagemaker.lineage import artifact
label_desc: Use image node_id 1 to create a new HyperparameterTuningJobAnalytics object from inherited base classes: AnalyticsMetricsBase with example: obj = HyperparameterTuningJobAnalytics(hyperparameter_tuning_job_name, sagemaker_session)