update old gpr model

This commit is contained in:
bohanjason
2019-11-30 03:30:35 -05:00
committed by Dana Van Aken
parent fd7f111c26
commit 7ebb2ea473
5 changed files with 84 additions and 38 deletions

View File

@@ -47,8 +47,8 @@ class TestGPRTF(unittest.TestCase):
X_train = data[0:500]
X_test = data[500:]
y_train = boston['target'][0:500].reshape(500, 1)
cls.model = GPR(length_scale=1.0, magnitude=1.0)
cls.model.fit(X_train, y_train, ridge=1.0)
cls.model = GPR(length_scale=1.0, magnitude=1.0, ridge=1.0)
cls.model.fit(X_train, y_train)
cls.gpr_result = cls.model.predict(X_test)
def test_gprnp_ypreds(self):
@@ -75,8 +75,8 @@ class TestGPRGD(unittest.TestCase):
y_train = boston['target'][0:500].reshape(500, 1)
Xmin = np.min(X_train, 0)
Xmax = np.max(X_train, 0)
cls.model = GPRGD(length_scale=1.0, magnitude=1.0, max_iter=1, learning_rate=0)
cls.model.fit(X_train, y_train, Xmin, Xmax, ridge=1.0)
cls.model = GPRGD(length_scale=1.0, magnitude=1.0, max_iter=1, learning_rate=0, ridge=1.0)
cls.model.fit(X_train, y_train, Xmin, Xmax)
cls.gpr_result = cls.model.predict(X_test)
def test_gprnp_ypreds(self):