Add log_loss param sgd_clf in test_groupcrossvalidation

Author: mandjevant

tests/test_estimator/test_estimator.py

@@ -274,7 +274,7 @@ def test_crossvalidation(self):
         y[:1000] = 1
 
         # Try to fit a model
-        cls = HyperoptEstimator(classifier=sgd_classifier("sgd", loss="log"), preprocessing=[])
+        cls = HyperoptEstimator(classifier=sgd_classifier("sgd", loss="log_loss"), preprocessing=[])
         cls.fit(X, y, cv_shuffle=True, n_folds=5,
                 kfolds_group=np.array([0]*500 + [1]*500 + [2]*500 + [3]*500))  # noqa: E226