Java tutorial
/* * Copyright (c) 2014 Villu Ruusmann * * This file is part of JPMML-Evaluator * * JPMML-Evaluator 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-Evaluator 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-Evaluator. If not, see <http://www.gnu.org/licenses/>. */ package org.jpmml.evaluator.functions; import java.util.Collection; import java.util.List; import org.apache.commons.math3.stat.descriptive.moment.StandardDeviation; import org.dmg.pmml.DataType; import org.jpmml.evaluator.FieldValue; import org.jpmml.evaluator.FieldValueUtil; import org.jpmml.evaluator.FunctionException; import org.jpmml.evaluator.TypeCheckException; import org.jpmml.evaluator.TypeUtil; /** * Pseudo-declaration of function: * <pre> * <DefineFunction name="..." dataType="double"> * <ParameterField name="values" dataType="collection of numbers"/> * <ParameterField name="biasCorrected" dataType="boolean"/> <!-- Optional; defaults to false --> * </DefineFunction> * </pre> * * @see StandardDeviation */ public class StandardDeviationFunction extends AbstractFunction { public StandardDeviationFunction() { this(StandardDeviationFunction.class.getName()); } public StandardDeviationFunction(String name) { super(name); } @Override public FieldValue evaluate(List<FieldValue> arguments) { if (arguments.size() < 1 || arguments.size() > 2) { throw new FunctionException(getName(), "Expected 1 or 2 arguments, but got " + arguments.size() + " arguments"); } // End if if (arguments.contains(null)) { throw new FunctionException(getName(), "Missing arguments"); } Object values = (arguments.get(0)).getValue(); if (!(values instanceof Collection)) { throw new TypeCheckException(Collection.class, values); } Boolean biasCorrected = Boolean.FALSE; if (arguments.size() > 1) { biasCorrected = (arguments.get(1)).asBoolean(); } Double result = evaluate((Collection<?>) values, biasCorrected); return FieldValueUtil.create(result); } static private Double evaluate(Collection<?> values, boolean biasCorrected) { StandardDeviation statistic = new StandardDeviation(); statistic.setBiasCorrected(biasCorrected); for (Object value : values) { Double doubleValue = (Double) TypeUtil.parseOrCast(DataType.DOUBLE, value); statistic.increment(doubleValue); } return statistic.getResult(); } }