code: def test_svrg(bin_train_data):
      X_bin, y_bin = bin_train_data
      clf = SVRGClassifier(
          eta=1e-3, max_iter=20, random_state=0, verbose=0
      )
      clf.fit(X_bin, y_bin)
      assert not hasattr(clf, "predict_proba")
      assert clf.score(X_bin, y_bin) == 1.0
  
file_path: lightning/lightning/impl/tests/test_svrg.py
imports: import numpy
  from lightning.classification import SVRGClassifier
  from lightning.regression import SVRGRegressor
label_desc: Use image node_id 1 for calling a global function with example usage: test_svrg(bin_train_data) without return types