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 default parameters. The default parameters
  are used to define the expected type of passed parameters. Missing
  parameter values are replaced with the defaults returned by this method.
docstr_tok: ["Returns","a","dictionary","of","default","parameters",".","The","default","parameters","are","used","to","define","the","expected","type","of","passed","parameters",".","Missing","parameter","values","are","replaced","with","the","defaults","returned","by","this","method","."]
code: def default_params():
      """Returns a dictionary of default parameters. The default parameters
      are used to define the expected type of passed parameters. Missing
      parameter values are replaced with the defaults returned by this method.
      """
      raise NotImplementedError
  
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 5 for calling the Configurable obj's underlying member method code with example usage: obj.default_params() without return types