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: Get samplers of the application
  
  :return: ``niftynet.engine.sampler_*`` instances
docstr_tok: ["Get","samplers","of","the","application",":","return",":","``","niftynet.engine.sampler_","*","``","instances"]
code: def get_sampler(self):
      """
      Get samplers of the application
  
      :return: ``niftynet.engine.sampler_*`` instances
      """
      return self.sampler
  
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 8 for calling the BaseApplication obj's underlying member method code with example usage: obj.get_sampler() and returns: self