test_gradient_boosting.py 文件源码

def test_warm_start_oob():
    # Test if warm start OOB equals fit.
    X, y = datasets.make_hastie_10_2(n_samples=100, random_state=1)
    for Cls in [GradientBoostingRegressor, GradientBoostingClassifier]:
        est = Cls(n_estimators=200, max_depth=1, subsample=0.5,
                  random_state=1)
        est.fit(X, y)

        est_ws = Cls(n_estimators=100, max_depth=1, subsample=0.5,
                     random_state=1, warm_start=True)
        est_ws.fit(X, y)
        est_ws.set_params(n_estimators=200)
        est_ws.fit(X, y)

        assert_array_almost_equal(est_ws.oob_improvement_[:100],
                                  est.oob_improvement_[:100])