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: A string indicating the action in train/inference/evaluation
  
  :return:
docstr_tok: ["A","string","indicating","the","action","in","train\/inference\/evaluation",":","return",":"]
code: def action(self):
      """
      A string indicating the action in train/inference/evaluation
  
      :return:
      """
      return 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 10 for calling the BaseApplication obj's underlying member method code with example usage: obj.action() and returns: self