/* * 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); } } }