/* * Copyright (c) 2015 Villu Ruusmann * * This file is part of JPMML-SkLearn * * JPMML-SkLearn is free software: you can redistribute it and/or modify * it under the terms of the GNU Affero General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * JPMML-SkLearn is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Affero General Public License for more details. * * You should have received a copy of the GNU Affero General Public License * along with JPMML-SkLearn. If not, see <http://www.gnu.org/licenses/>. */ package sklearn.preprocessing; import org.junit.Test; public class StandardScalerTest extends ScalerTest { @Test public void encode(){ StandardScaler scaler = new StandardScaler("sklearn.preprocessing.data", "StandardScaler"); scaler.put("with_mean", Boolean.FALSE); scaler.put("with_std", Boolean.FALSE); scaler.put("mean_", 6d); scaler.put("std_", 2d); assertSameFeature(scaler); scaler.put("with_mean", Boolean.TRUE); scaler.put("with_std", Boolean.TRUE); assertTransformedFeature(scaler, "/"); scaler.put("std_", 1d); assertTransformedFeature(scaler, "-"); scaler.put("mean_", 0d); assertSameFeature(scaler); } }