code: def test_score_unfit_net_raises(self, loss_scoring_fn, net, data):
      from skorch.exceptions import NotInitializedError
  
      X, y = data
      with pytest.raises(NotInitializedError):
          loss_scoring_fn(net, X, y)
  
imports: import pytest
  import numpy
  import torch
label_desc: Use image node_id 11 for calling the TestLossScoring obj's underlying member method code with example usage: obj.test_score_unfit_net_raises(loss_scoring_fn, net, data) without return types