/*
* 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();
}
}