def test_predict_log_proba_trained_trainable(self):
from lale.lib.sklearn import BaggingClassifier
clf = BaggingClassifier()
clf.fit(self.X_train, self.y_train)
with self.assertWarns(DeprecationWarning):
clf.predict_log_proba(self.X_test)
def test_with_lale_pipeline(self):
from lale.lib.sklearn import BaggingClassifier
clf = BaggingClassifier(base_estimator=PCA() >> LogisticRegression())
trained = clf.fit(self.X_train, self.y_train)
trained.predict(self.X_test)
def test_with_lale_classifiers(self):
from lale.lib.sklearn import BaggingClassifier
from lale.sklearn_compat import make_sklearn_compat
clf = BaggingClassifier(base_estimator=LogisticRegression())
trained = clf.fit(self.X_train, self.y_train)
trained.predict(self.X_test)