blob: ce7a74ffa135d6975e9f2d51982f8f6eaa636179 [file] [log] [blame]
package com.yahoo.labs.samoa.moa.classifiers.rules.core.voting;
/*
* #%L
* SAMOA
* %%
* Copyright (C) 2013 - 2014 Yahoo! Inc.
* %%
* 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%
*/
/**
* UniformWeightedVote class for weighted votes based on estimates of errors.
*
* @author Joao Duarte (jmduarte@inescporto.pt)
* @version $Revision: 1 $
*/
public class UniformWeightedVote extends AbstractErrorWeightedVote {
private static final long serialVersionUID = 6359349250620616482L;
public UniformWeightedVote() {
super();
}
public UniformWeightedVote(AbstractErrorWeightedVote aewv) {
super(aewv);
}
@Override
public double[] computeWeightedVote() {
int n=votes.size();
weights=new double[n];
double [] weightedVote=null;
if (n>0){
int d=votes.get(0).length;
weightedVote=new double[d];
for (int i=0; i<n; i++)
{
weights[i]=1.0/n;
for(int j=0; j<d; j++)
weightedVote[j]+=(votes.get(i)[j]*weights[i]);
}
}
return weightedVote;
}
@Override
public void getDescription(StringBuilder sb, int indent) {
// TODO Auto-generated method stub
}
@Override
public UniformWeightedVote getACopy() {
return new UniformWeightedVote(this);
}
}