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)