def test_manual_grid(self):
from sklearn.datasets import load_iris
from lale.lib.lale import GridSearchCV
from lale.lib.sklearn import SVC
warnings.simplefilter("ignore")
from lale import wrap_imported_operators
wrap_imported_operators()
iris = load_iris()
parameters = {"kernel": ("linear", "rbf"), "C": [1, 10]}
svc = SVC()
clf = GridSearchCV(estimator=svc, param_grid=parameters)
clf.fit(iris.data, iris.target)
clf.predict(iris.data)
def test_break_ties(self):
with self.assertRaisesRegex(jsonschema.ValidationError,
"argument 'break_ties' was unexpected"):
_ = SVC(break_ties=True)
def test_gamma(self):
default = SVC.hyperparam_defaults()["gamma"]
self.assertEqual(default, "auto_deprecated")
def test_with_defaults(self):
trainable = SVC()
trained = trainable.fit(self.train_X, self.train_y)
_ = trained.predict(self.test_X)
def test_svc(self):
from lale.lib.sklearn import SVC
reg = SVC(kernel='linear', gamma=1)
reg.fit(self.X_train, self.y_train)
def test_svc(self):
reg = SVC(kernel="linear", gamma=1)
reg.fit(self.X_train, self.y_train)
def test_gamma(self):
default = SVC.hyperparam_defaults()['gamma']
self.assertEqual(default, 'auto_deprecated')