blob: d86bee2e5d7055fb5754f6e88105b635875720fc [file] [log] [blame]
package org.apache.samoa.moa.classifiers.rules.core.voting;
/*
* #%L
* SAMOA
* %%
* Copyright (C) 2014 - 2015 Apache Software Foundation
* %%
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* #L%
*/
import java.util.ArrayList;
import java.util.List;
import org.apache.samoa.moa.AbstractMOAObject;
/**
* AbstractErrorWeightedVote class for weighted votes based on estimates of errors.
*
* @author Joao Duarte (jmduarte@inescporto.pt)
* @version $Revision: 1 $
*/
public abstract class AbstractErrorWeightedVote extends AbstractMOAObject implements ErrorWeightedVote {
/**
*
*/
private static final long serialVersionUID = -7340491298217227675L;
protected List<double[]> votes;
protected List<Double> errors;
protected double[] weights;
public AbstractErrorWeightedVote() {
super();
votes = new ArrayList<double[]>();
errors = new ArrayList<Double>();
}
public AbstractErrorWeightedVote(AbstractErrorWeightedVote aewv) {
super();
votes = new ArrayList<double[]>();
for (double[] vote : aewv.votes) {
double[] v = new double[vote.length];
for (int i = 0; i < vote.length; i++)
v[i] = vote[i];
votes.add(v);
}
errors = new ArrayList<Double>();
for (Double db : aewv.errors) {
errors.add(db.doubleValue());
}
if (aewv.weights != null) {
weights = new double[aewv.weights.length];
for (int i = 0; i < aewv.weights.length; i++)
weights[i] = aewv.weights[i];
}
}
@Override
public void addVote(double[] vote, double error) {
votes.add(vote);
errors.add(error);
}
@Override
abstract public double[] computeWeightedVote();
@Override
public double getWeightedError()
{
double weightedError = 0;
if (weights != null && weights.length == errors.size())
{
for (int i = 0; i < weights.length; ++i)
weightedError += errors.get(i) * weights[i];
}
else
weightedError = -1;
return weightedError;
}
@Override
public double[] getWeights() {
return weights;
}
@Override
public int getNumberVotes() {
return votes.size();
}
}