/* * 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.logistic; import org.dmg.pmml.regression.RegressionModel; import org.jpmml.converter.Schema; import sklearn.linear_model.BaseLinearClassifier; public class LogisticRegression extends BaseLinearClassifier { public LogisticRegression(String module, String name){ super(module, name); } @Override public RegressionModel encodeModel(Schema schema){ String multiClass = getMultiClass(); if(!("ovr").equals(multiClass)){ throw new IllegalArgumentException(multiClass); } return super.encodeModel(schema); } public String getMultiClass(){ return (String)get("multi_class"); } }