/* * RapidMiner * * Copyright (C) 2001-2014 by RapidMiner and the contributors * * Complete list of developers available at our web site: * * http://rapidminer.com * * This program 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. * * This program 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 this program. If not, see http://www.gnu.org/licenses/. */ package com.rapidminer.operator.preprocessing.transformation.aggregation; import java.util.List; import com.rapidminer.example.Attribute; /** * This function first behaves like {@link SumAggregationFunction}, but it * delivers fractions of the total sum instead of absolute values. * E.g. {@link SumAggregationFunction} delivers [6, 10, 4] this function * would deliver [0.3, 0.5, 0.2] * * @author Marius Helf * */ public class SumFractionalAggregationFunction extends SumAggregationFunction { public static final String FUNCTION_SUM_FRACTIONAL = "fractional_sum"; public SumFractionalAggregationFunction(Attribute sourceAttribute, boolean ignoreMissings, boolean countOnlyDisctinct) { super(sourceAttribute, ignoreMissings, countOnlyDisctinct, FUNCTION_SUM_FRACTIONAL, FUNCTION_SEPARATOR_OPEN, FUNCTION_SEPARATOR_CLOSE); } public SumFractionalAggregationFunction(Attribute sourceAttribute, boolean ignoreMissings, boolean countOnlyDisctinct, String functionName, String separatorOpen, String separatorClose) { super(sourceAttribute, ignoreMissings, countOnlyDisctinct, functionName, separatorOpen, separatorClose); } @Override public void postProcessing(List<Aggregator> allAggregators) { double totalSum = 0; // calculate total sum for (Aggregator aggregator : allAggregators) { double value = ((SumAggregator)aggregator).getValue(); if (value < 0 || Double.isNaN(value)) { totalSum = Double.NaN; break; } totalSum += value; } // devide by total sum for (Aggregator aggregator : allAggregators) { SumAggregator sumAggregator = (SumAggregator) aggregator; sumAggregator.setValue(sumAggregator.getValue()/totalSum); } } }