Java tutorial
/* * 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; import java.util.List; import com.google.common.collect.Iterables; import org.dmg.pmml.regression.RegressionModel; import org.jpmml.converter.Schema; import org.jpmml.sklearn.ClassDictUtil; import sklearn.Regressor; abstract public class BaseLinearRegressor extends Regressor { public BaseLinearRegressor(String module, String name) { super(module, name); } @Override public int getNumberOfFeatures() { int[] shape = getCoefShape(); return shape[0]; } @Override public boolean requiresContinuousInput() { return false; } @Override public RegressionModel encodeModel(Schema schema) { return RegressionModelUtil.encodeRegressionModel(getCoef(), Iterables.getOnlyElement(getIntercept()), schema); } public List<? extends Number> getCoef() { return (List) ClassDictUtil.getArray(this, "coef_"); } public List<? extends Number> getIntercept() { return (List) ClassDictUtil.getArray(this, "intercept_"); } private int[] getCoefShape() { return ClassDictUtil.getShape(this, "coef_", 1); } }