code: def test_multioutput_score(
      self, multioutput_net, multioutput_regression_data
  ):
      X, y = multioutput_regression_data
      multioutput_net.fit(X, y)
      r2_score = multioutput_net.score(X, y)
      assert r2_score <= 1.0
  
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 16 for calling the TestNeuralNetRegressor obj's underlying member method code with example usage: obj.test_multioutput_score(multioutput_net, multioutput_regression_data) without return types