/*
* 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.linear_model.ridge;
import java.util.List;
import org.jpmml.sklearn.ClassDictUtil;
import sklearn.linear_model.BaseLinearClassifier;
import sklearn.preprocessing.LabelBinarizer;
public class RidgeClassifier extends BaseLinearClassifier {
public RidgeClassifier(String module, String name){
super(module, name);
}
@Override
public boolean hasProbabilityDistribution(){
return false;
}
@Override
public List<?> getClasses(){
LabelBinarizer labelBinarizer = getLabelBinarizer();
return labelBinarizer.getClasses();
}
public LabelBinarizer getLabelBinarizer(){
Object object = get("_label_binarizer");
try {
if(object == null){
throw new NullPointerException();
}
return (LabelBinarizer)object;
} catch(RuntimeException re){
throw new IllegalArgumentException("The label binarizer object (" + ClassDictUtil.formatClass(object) + ") is not a LabelBinarizer", re);
}
}
}