code: def __init__(self, n_features: int, softmax: bool = False):
      super().__init__()
      self.dense1 = nn.Linear(n_features, 20)
      self.dense2 = nn.Linear(20, 2)
      self.softmax = softmax
  
file_path: alibi-detect/alibi_detect/cd/pytorch/tests/test_classifier_pt.py
imports: from itertools import product
  import numpy
  import pytest
  import torch
  import torch.nn
  from typing import Union
  from alibi_detect.cd.pytorch.classifier import ClassifierDriftTorch
label_desc: Use image node_id 1 to create a new MyModel object from inherited base classes: nn with example: obj = MyModel(n_features, softmax)