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
code: def __init__(self, params, mode):
      self._params = _parse_params(params, self.default_params())
      self._mode = mode
      self._print_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 1 to create a new Configurable object from inherited base classes: object with example: obj = Configurable(params, mode)