Python StandardScaler.predict_proba Examples

Example #1

File: test_core_pipeline.py Project: nimeoz/lale

 def test_two_estimators_predict_proba1(self):
     pipeline = StandardScaler() >> (
         PCA() & Nystroem() & PassiveAggressiveClassifier()
     ) >> ConcatFeatures() >> NoOp() >> PassiveAggressiveClassifier()
     pipeline.fit(self.X_train, self.y_train)
     with self.assertRaises(ValueError):
         pipeline.predict_proba(self.X_test)

Example #2

 def test_two_estimators_predict_proba(self):
     pipeline = StandardScaler() >> (
         PCA() & Nystroem() & LogisticRegression()
     ) >> ConcatFeatures() >> NoOp() >> LogisticRegression()
     pipeline.fit(self.X_train, self.y_train)
     pipeline.predict_proba(self.X_test)