/* * Copyright (c) 2017 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 sklearn2pmml.feature_extraction.text; import net.razorvine.pickle.objects.ClassDict; public class Splitter extends ClassDict { public Splitter(String module, String name){ super(module, name); } public void __setstate__(String separatorRE){ put("separator_re", separatorRE); } public String getSeparatorRE(){ return (String)get("separator_re"); } }