code: def __init__(self, function, *args, **kwargs):
      self.function = function
      self.exclude = kwargs.pop("exclude", ["bias"])
  
      self.args = args
      self.kwargs = kwargs
  
file_path: neupy/neupy/algorithms/gd/regularizers.py
imports: from __future__ import division
  from functools import wraps
  import tensorflow
  from neupy.utils import asfloat
label_desc: Use image node_id 1 to create a new Regularizer object from inherited base classes: object with example: obj = Regularizer(function)