/* * RapidMiner * * Copyright (C) 2001-2011 by Rapid-I and the contributors * * Complete list of developers available at our web site: * * http://rapid-i.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 com.rapidminer.example.Example; import com.rapidminer.example.table.DataRow; /** * This is an {@link Aggregator} for the {@link LeastOccuringAggregationFunction}. * If the least value that at least occurrs once is not unique, the first value from the nominal mapping will be used. * * @author Sebastian Land */ public class LeastOccurringAggregator implements Aggregator { private Attribute sourceAttribute; private double[] frequencies; public LeastOccurringAggregator(AggregationFunction function) { this.sourceAttribute = function.getSourceAttribute(); frequencies = new double[sourceAttribute.getMapping().size()]; } @Override public void count(Example example) { count(example, 1d); } @Override public void count(Example example, double weight) { double value = example.getValue(sourceAttribute); if (!Double.isNaN(value)) frequencies[(int) value] += weight; } @Override public void set(Attribute attribute, DataRow row) { int minIndex = -1; double minFrequency = Double.POSITIVE_INFINITY; for (int i = 0; i < frequencies.length; i++) { if (frequencies[i] > 0 && frequencies[i] < minFrequency) { minIndex = i; minFrequency = frequencies[i]; } } // if any counter was greater 0, set result to maximum if (minIndex > -1) row.set(attribute, attribute.getMapping().mapString(sourceAttribute.getMapping().mapIndex(minIndex))); else row.set(attribute, Double.NaN); } }