/* * Copyright (c) 2017 Villu Ruusmann * * This file is part of JPMML-SparkML * * JPMML-SparkML 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-SparkML 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-SparkML. If not, see <http://www.gnu.org/licenses/>. */ package org.jpmml.sparkml.xgboost; import ml.dmlc.xgboost4j.scala.Booster; import ml.dmlc.xgboost4j.scala.spark.XGBoostClassificationModel; import org.apache.spark.ml.classification.ProbabilisticClassificationModel; import org.dmg.pmml.mining.MiningModel; import org.dmg.pmml.regression.RegressionModel; import org.jpmml.converter.Schema; import org.jpmml.converter.mining.MiningModelUtil; import org.jpmml.sparkml.ClassificationModelConverter; import org.jpmml.xgboost.HasXGBoostOptions; public class XGBoostClassificationModelConverter extends ClassificationModelConverter<XGBoostClassificationModel> implements HasXGBoostOptions { public XGBoostClassificationModelConverter(XGBoostClassificationModel model){ super(model); } @Override public MiningModel encodeModel(Schema schema){ XGBoostClassificationModel model = getTransformer(); Booster booster = model.nativeBooster(); MiningModel miningModel = BoosterUtil.encodeBooster(this, booster, schema); RegressionModel regressionModel = (RegressionModel)MiningModelUtil.getFinalModel(miningModel); if(model instanceof ProbabilisticClassificationModel){ regressionModel.setOutput(null); } return miningModel; } }