code: def test_scored_net_output_type(self, scored_net_fit, data):
      X, y = data
      score_value = scored_net_fit.score(X, y)
      assert np.isscalar(score_value)
  
imports: import pytest
  import numpy
  import torch
label_desc: Use image node_id 14 for calling the TestLossScoring obj's underlying member method code with example usage: obj.test_scored_net_output_type(scored_net_fit, data) without return types