def test_pipeline_clonability(self):
X_train, Y_train, X_test, Y_test = get_dataset(dataset='boston')
auto = SimpleRegressionPipeline(random_state=1)
auto = auto.fit(X_train, Y_train)
auto_clone = clone(auto)
auto_clone_params = auto_clone.get_params()
# Make sure all keys are copied properly
for k, v in auto.get_params().items():
self.assertIn(k, auto_clone_params)
# Make sure the params getter of estimator are honored
klass = auto.__class__
new_object_params = auto.get_params(deep=False)
for name, param in new_object_params.items():
new_object_params[name] = clone(param, safe=False)
new_object = klass(**new_object_params)
params_set = new_object.get_params(deep=False)
for name in new_object_params:
param1 = new_object_params[name]
param2 = params_set[name]
self.assertEqual(param1, param2)
