def test_sklearn_n_jobs(self): self._init_ray() clf = RayXGBClassifier(n_jobs=1) assert clf.get_xgb_params()["n_jobs"] == 1 clf = RayXGBClassifier(n_jobs=2) assert clf.get_xgb_params()["n_jobs"] == 2
def test_sklearn_random_state(self): self._init_ray() clf = RayXGBClassifier(random_state=402) assert clf.get_xgb_params()["random_state"] == 402 clf = RayXGBClassifier(random_state=401) assert clf.get_xgb_params()["random_state"] == 401 random_state = np.random.RandomState(seed=403) clf = RayXGBClassifier(random_state=random_state) assert isinstance(clf.get_xgb_params()["random_state"], int)