Add tol to silence warning

jnothman · jnothman · commit 4b143a4bedbc · 2019-07-23T16:45:51.000+10:00
diff --git a/sklearn/tests/test_multioutput.py b/sklearn/tests/test_multioutput.py
@@ -169,7 +169,8 @@ def test_multi_target_sample_weights():
 # 0.23. warning about tol not having its correct default value.
 @pytest.mark.filterwarnings('ignore:max_iter and tol parameters have been')
 def test_multi_output_classification_partial_fit_parallelism():
-    sgd_linear_clf = SGDClassifier(loss='log', random_state=1, max_iter=5)
+    sgd_linear_clf = SGDClassifier(loss='log', random_state=1,
+                                   max_iter=5, tol=1e-3)
     mor = MultiOutputClassifier(sgd_linear_clf, n_jobs=-1)
     mor.partial_fit(X, y, classes)
     est1 = mor.estimators_[0]
