/**
* Copyright (C) 2001-2017 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 com.rapidminer.example.Attribute;
import java.util.List;
/**
* 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);
}
}
}