code: def _get_prediction_function(self, inputs, output):
      func = B.function(inputs=inputs, outputs=output)
  
      def prediction_function(
          input_data_list, batch_size, progress_update=None
      ):
          to_return = deeplift.util.run_function_in_batches(
              func=func,
              input_data_list=input_data_list,
              batch_size=batch_size,
              progress_update=progress_update,
          )
          return to_return
  
      return prediction_function
  
imports: from __future__ import division
  from __future__ import print_function
  from __future__ import absolute_import
  import sys
  import os
  import numpy
  import yaml
  from collections import namedtuple
  from collections import OrderedDict
  from collections import defaultdict
  import deeplift.util
  from deeplift import layers
  from deeplift.layers import *
  from deeplift.layers import ScoringMode
  from deeplift.util import compile_func
label_desc: Use image node_id 11 for calling the Model obj's underlying member method code with example usage: obj._get_prediction_function(inputs, output) and returns: prediction_function, to_return