code: def test_fit_with_dataset_and_y_none(self, net_cls, module_cls, data):
      from skorch.dataset import Dataset
  
      # deactivate train split since it requires y
      net = net_cls(module_cls, train_split=False, max_epochs=1)
      X, y = data
      dataset = Dataset(X, y)
      assert net.fit(dataset, y=None)
  
imports: from unittest.mock import Mock
  import numpy
  import pytest
  import torch
  from scipy.special import expit
  from sklearn.base import clone
  from torch import nn
  from skorch.tests.conftest import INFERENCE_METHODS
label_desc: Use image node_id 14 for calling the TestNeuralNetBinaryClassifier obj's underlying member method code with example usage: obj.test_fit_with_dataset_and_y_none(net_cls, module_cls, data) without return types