def test_default_configuration(self):
for i in range(2):
X_train, Y_train, X_test, Y_test = get_dataset(dataset='diabetes')
auto = SimpleRegressionPipeline()
auto = auto.fit(X_train, Y_train)
predictions = auto.predict(copy.deepcopy(X_test))
# The lower the worse
r2_score = sklearn.metrics.r2_score(Y_test, predictions)
self.assertAlmostEqual(0.417, r2_score, places=3)
model_score = auto.score(copy.deepcopy(X_test), Y_test)
self.assertAlmostEqual(model_score, r2_score, places=5)
def test_default_configuration(self):
for i in range(2):
X_train, Y_train, X_test, Y_test = get_dataset(dataset='diabetes')
auto = SimpleRegressionPipeline()
auto = auto.fit(X_train, Y_train)
predictions = auto.predict(copy.deepcopy(X_test))
# The lower the worse
r2_score = sklearn.metrics.r2_score(Y_test, predictions)
self.assertAlmostEqual(0.339, r2_score, places=3)
model_score = auto.score(copy.deepcopy(X_test), Y_test)
self.assertAlmostEqual(model_score, r2_score, places=5)
def test_default_configuration(self):
for i in range(2):
cs = SimpleRegressionPipeline.get_hyperparameter_search_space()
default = cs.get_default_configuration()
X_train, Y_train, X_test, Y_test = get_dataset(dataset='diabetes')
auto = SimpleRegressionPipeline(default)
auto = auto.fit(X_train, Y_train)
predictions = auto.predict(copy.deepcopy(X_test))
# The lower the worse
r2_score = sklearn.metrics.r2_score(Y_test, predictions)
self.assertAlmostEqual(0.41732302035060087, r2_score)
model_score = auto.score(copy.deepcopy(X_test), Y_test)
self.assertEqual(model_score, r2_score)
def test_default_configuration(self):
for i in range(2):
cs = SimpleRegressionPipeline.get_hyperparameter_search_space()
default = cs.get_default_configuration()
X_train, Y_train, X_test, Y_test = get_dataset(dataset='diabetes')
auto = SimpleRegressionPipeline(default)
auto = auto.fit(X_train, Y_train)
predictions = auto.predict(copy.deepcopy(X_test))
# The lower the worse
r2_score = sklearn.metrics.r2_score(Y_test, predictions)
self.assertAlmostEqual(0.41732302035060087, r2_score)
model_score = auto.score(copy.deepcopy(X_test), Y_test)
self.assertEqual(model_score, r2_score)
