def test_minmax_scaler(clf_dataset): # noqa: F811 X_np, X = clf_dataset scaler = cuMinMaxScaler(copy=True) t_X = scaler.fit_transform(X) r_X = scaler.inverse_transform(t_X) assert type(t_X) == type(X) assert type(r_X) == type(t_X) scaler = skMinMaxScaler(copy=True) sk_t_X = scaler.fit_transform(X_np) sk_r_X = scaler.inverse_transform(sk_t_X) assert_allclose(t_X, sk_t_X) assert_allclose(r_X, sk_r_X)
def test_minmax_scaler(failure_logger, clf_dataset, # noqa: F811 feature_range): X_np, X = clf_dataset scaler = cuMinMaxScaler(feature_range=feature_range, copy=True) t_X = scaler.fit_transform(X) r_X = scaler.inverse_transform(t_X) assert type(t_X) == type(X) assert type(r_X) == type(t_X) scaler = skMinMaxScaler(feature_range=feature_range, copy=True) sk_t_X = scaler.fit_transform(X_np) sk_r_X = scaler.inverse_transform(sk_t_X) assert_allclose(t_X, sk_t_X) assert_allclose(r_X, sk_r_X)