code: def test_predict_with_bceloss(self, net_with_bceloss, data):
      X, _ = data
  
      y_pred_proba = net_with_bceloss.predict_proba(X)
      y_pred_exp = (
          y_pred_proba[:, 1] > net_with_bceloss.threshold
      ).astype("uint8")
      y_pred_actual = net_with_bceloss.predict(X)
      assert np.allclose(y_pred_exp, y_pred_actual)
  
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 25 for calling the TestNeuralNetBinaryClassifier obj's underlying member method code with example usage: obj.test_predict_with_bceloss(net_with_bceloss, data) without return types