package com.yahoo.labs.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%
 */

/**
 * 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);
  }

}