code: def test_multiclass_sgd(mult_dense_train_data):
      mult_dense, mult_target = mult_dense_train_data
      clf = SGDClassifier(random_state=0)
      clf.fit(mult_dense, mult_target)
      assert clf.score(mult_dense, mult_target) > 0.80
      assert list(clf.classes_) == [0, 1, 2]
  
file_path: lightning/lightning/impl/tests/test_sgd.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_regression
  from lightning.impl.datasets.samples_generator import make_nn_regression
  from lightning.impl.sgd import SGDClassifier
  from lightning.impl.sgd import SGDRegressor
  from lightning.impl.tests.utils import check_predict_proba
label_desc: Use image node_id 4 for calling a global function with example usage: test_multiclass_sgd(mult_dense_train_data) without return types