/*
Copyright (C) 2008,2009 Martin Günther <mintar@gmx.de>
This file is part of GgpRatingSystem.
GgpRatingSystem is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
GgpRatingSystem 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 General Public License for more details.
You should have received a copy of the GNU General Public License
along with GgpRatingSystem. If not, see <http://www.gnu.org/licenses/>.
*/
package ggpratingsystem.ratingsystems;
import ggpratingsystem.MatchSet;
import ggpratingsystem.Player;
import java.util.Map;
import java.util.Set;
public abstract class AbstractLinearRegressionStrategy implements RatingStrategy {
protected abstract double getLearningRate();
public void update(MatchSet matches) {
LinearRegressionGameInfo gameInfo = (LinearRegressionGameInfo) matches
.getGame().getGameInfo(this.getType());
gameInfo.updateGameInfo(matches);
Map<Player, Double> actualScores = matches.overallScores();
Map<Player, Double> expectedScores = gameInfo.expectedScores(matches);
Set<Player> players = matches.getPlayers();
assert(players.equals(actualScores.keySet()));
assert(players.equals(expectedScores.keySet()));
/* update the players' ratings */
for (Player player : players) {
LinearRegressionRating rating = (LinearRegressionRating) player.getRating(this.getType());
rating.updateSingleRating(actualScores.get(player), expectedScores.get(player), this.getLearningRate());
}
}
}