class_docstr: Base class for tuning job or training job analytics classes.
  
  Understands common functionality like persistence and caching.
docstr: Clear the object of all local caches of API methods.
  
  So that the next time any properties are accessed they will be refreshed from the service.
docstr_tok: ["Clear","the","object","of","all","local","caches","of","API","methods",".","So","that","the","next","time","any","properties","are","accessed","they","will","be","refreshed","from","the","service","."]
code: def clear_cache(self):
      """Clear the object of all local caches of API methods.
  
      So that the next time any properties are accessed they will be refreshed from the service.
      """
      self._dataframe = None
  
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 5 for calling the AnalyticsMetricsBase obj's underlying member method code with example usage: obj.clear_cache() without return types