code: def test_predict_and_predict_proba(self, net_fit, data):
      X = data[0]
  
      y_proba = net_fit.predict_proba(X)
      assert np.allclose(y_proba.sum(1), 1, rtol=1e-5)
  
      y_pred = net_fit.predict(X)
      assert np.allclose(np.argmax(y_proba, 1), y_pred, rtol=1e-5)
  
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 8 for calling the TestNeuralNet obj's underlying member method code with example usage: obj.test_predict_and_predict_proba(net_fit, data) without return types