/* 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()); } } }