class_docstr: Interface for all classes that are configurable
  via a parameters dictionary.
  
  Args:
    params: A dictionary of parameters.
    mode: A value in tf.contrib.learn.ModeKeys
docstr: Returns a dictionary of parsed parameters.
      
docstr_tok: ["Returns","a","dictionary","of","parsed","parameters","."]
code: def params(self):
      """Returns a dictionary of parsed parameters."""
      return self._params
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import copy
  from pydoc import locate
  import six
  import yaml
  import tensorflow
label_desc: Use image node_id 4 for calling the Configurable obj's underlying member method code with example usage: obj.params() and returns: self