code: def test_predict_predict_proba(self, net_fit, data):
      X = data[0]
      y_pred = net_fit.predict(X)
  
      # predictions should not be all zeros
      assert not np.allclose(y_pred, 0)
  
      y_proba = net_fit.predict_proba(X)
      # predict and predict_proba should be identical for regression
      assert np.allclose(y_pred, y_proba, atol=1e-6)
  
imports: from functools import partial
  import numpy
  import pytest
  from sklearn.base import clone
  from skorch.tests.conftest import INFERENCE_METHODS
label_desc: Use image node_id 14 for calling the TestNeuralNetRegressor obj's underlying member method code with example usage: obj.test_predict_predict_proba(net_fit, data) without return types