/* * Copyright (c) 2016 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 xgboost.sklearn; import org.dmg.pmml.mining.MiningModel; import org.jpmml.converter.Schema; import org.jpmml.xgboost.Learner; import org.jpmml.xgboost.XGBoostUtil; public class BoosterUtil { private BoosterUtil(){ } static public int getNumberOfFeatures(HasBooster hasBooster){ Learner learner = getLearner(hasBooster); return learner.getNumFeatures(); } static public MiningModel encodeBooster(HasBooster hasBooster, Schema schema){ Learner learner = getLearner(hasBooster); Schema xgbSchema = XGBoostUtil.toXGBoostSchema(schema); MiningModel miningModel = learner.encodeMiningModel(xgbSchema); return miningModel; } static private Learner getLearner(HasBooster hasBooster){ Booster booster = hasBooster.getBooster(); return booster.getLearner(); } }