/*
* 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);
}
}