class_docstr: BaseApplication represents an interface.
  
  Each application ``type_str`` should support to use
  the standard training and inference driver.
class_docstr_tok: ["BaseApplication","represents","an","interface",".","Each","application","``","type_str","``","should","support","to","use","the","standard","training","and","inference","driver","."]
docstr: :return: boolean value indicating if the phase is training
docstr_tok: [":","return",":","boolean","value","indicating","if","the","phase","is","training"]
code: def is_training(self):
      """
  
      :return: boolean value indicating if the phase is training
      """
      return TRAIN.startswith(self.action)
  
imports: import os
  from argparse import Namespace
  import tensorflow
  from six import with_metaclass
  from niftynet.engine.signal import TRAIN, INFER, EVAL
label_desc: Use image node_id 12 for calling the BaseApplication obj's underlying member method code with example usage: obj.is_training() and returns: TRAIN