def test_sgd_classifier_3(self): from lale.lib.sklearn import SGDClassifier reg = SGDClassifier(l1_ratio=0.2, penalty='l1') reg.fit(self.X_train, self.y_train)
def test_sgd_classifier_1(self): from lale.lib.sklearn import SGDClassifier reg = SGDClassifier(learning_rate='optimal', eta0=0.2) reg.fit(self.X_train, self.y_train)
def test_sgd_classifier_2(self): from lale.lib.sklearn import SGDClassifier reg = SGDClassifier(early_stopping=False, validation_fraction=0.2) reg.fit(self.X_train, self.y_train)
def test_sgd_classifier(self): from lale.lib.sklearn import SGDClassifier reg = SGDClassifier(loss='squared_loss', epsilon=0.2) reg.fit(self.X_train, self.y_train)
def test_sgd_classifier_3(self): reg = SGDClassifier(l1_ratio=0.2, penalty="l1") reg.fit(self.X_train, self.y_train)
def test_sgd_classifier_2(self): reg = SGDClassifier(early_stopping=False, validation_fraction=0.2) reg.fit(self.X_train, self.y_train)
def test_sgd_classifier_1(self): reg = SGDClassifier(learning_rate="optimal", eta0=0.2) reg.fit(self.X_train, self.y_train)
def test_sgd_classifier(self): reg = SGDClassifier(loss="squared_loss", epsilon=0.2) reg.fit(self.X_train, self.y_train)