code: def num_features(self, __num_features: int):
      if type(__num_features) != int:
          raise TypeError
      if not __num_features > 0:
          raise ValueError
      self.__num_features = __num_features if __num_features > 0 else 0
  
imports: import copy
  import logging
  import typing
  import torch
  import torch.nn.functional
  from copy import deepcopy
  from autogl.module.hpo.auto_module import AutoModule
label_desc: Use image node_id 8 for calling the ClassificationModel obj's underlying member method code with example usage: obj.num_features(__num_features) without return types