def test_batching_with_hyperopt(self): from lale.lib.lale import Batching, Hyperopt from lale.lib.sklearn import MinMaxScaler, SGDClassifier pipeline = Batching(operator=MinMaxScaler() >> SGDClassifier()) trained = pipeline.auto_configure( self.X_train, self.y_train, optimizer=Hyperopt, max_evals=1 ) _ = trained.predict(self.X_test)
def test_batching_with_hyperopt(self): from lale.lib.sklearn import MinMaxScaler, SGDClassifier from lale.lib.lale import Hyperopt, Batching from sklearn.metrics import accuracy_score pipeline = Batching(operator=MinMaxScaler() >> SGDClassifier()) trained = pipeline.auto_configure(self.X_train, self.y_train, optimizer=Hyperopt, max_evals=1) predictions = trained.predict(self.X_test)