code: def test_module_output_not_1d(self, net_cls, data):
      from skorch.toy import make_classifier
  
      module = make_classifier(
          input_units=20,
          output_units=1,
      )  # the output will not be squeezed
      net = net_cls(module, max_epochs=1)
      net.fit(*data)
  
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 20 for calling the TestNeuralNetBinaryClassifier obj's underlying member method code with example usage: obj.test_module_output_not_1d(net_cls, data) without return types