code: def test_target_2d_raises(self, net, data):
      X, y = data
      with pytest.raises(ValueError) as exc:
          net.fit(X, y[:, None])
  
      assert exc.value.args[0] == (
          "The target data should be 1-dimensional."
      )
  
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 15 for calling the TestNeuralNetBinaryClassifier obj's underlying member method code with example usage: obj.test_target_2d_raises(net, data) without return types