All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.jpmml.evaluator.functions.PercentileFunction Maven / Gradle / Ivy

/*
 * 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 .
 */
package org.jpmml.evaluator.functions;

import java.util.Arrays;
import java.util.Collection;

import org.apache.commons.math3.stat.descriptive.rank.Percentile;
import org.dmg.pmml.DataType;
import org.jpmml.evaluator.ComplexDoubleVector;
import org.jpmml.evaluator.DoubleVector;
import org.jpmml.evaluator.FieldValue;
import org.jpmml.evaluator.FieldValueUtil;
import org.jpmml.evaluator.InvalidArgumentException;
import org.jpmml.evaluator.TypeInfos;
import org.jpmml.evaluator.TypeUtil;

/**
 * 

* A Java UDF for calculating the n-th percentile of a collection of values. *

* * Pseudo-declaration of function: *
{@code
 * 
 *   
 *   <-- 0 < percentile <= 100 -->
 *   
 * 
 * }
* * @see Percentile */ public class PercentileFunction extends BinaryFunction { public PercentileFunction(){ this(PercentileFunction.class.getName()); } public PercentileFunction(String name){ super(name, Arrays.asList("values", "percentile")); } public Double evaluate(Collection values, int percentile){ if(percentile < 1 || percentile > 100){ throw new InvalidArgumentException(this, InvalidArgumentException.formatMessage(this, "percentile", percentile) + ". Must be greater than 0, and less than or equal to 100"); } DoubleVector doubleValues = new ComplexDoubleVector(values.size()); for(Object value : values){ Number number = (Number)TypeUtil.parseOrCast(DataType.DOUBLE, value); doubleValues.add(number.doubleValue()); } return doubleValues.doublePercentile(percentile); } @Override public FieldValue evaluate(FieldValue first, FieldValue second){ Double result = evaluate(first.asCollection(), second.asInteger()); return FieldValueUtil.create(TypeInfos.CONTINUOUS_DOUBLE, result); } }




© 2015 - 2024 Weber Informatics LLC | Privacy Policy