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Facilities for evaluating recommender algorithms.

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/*
 * LensKit, an open source recommender systems toolkit.
 * Copyright 2010-2014 LensKit Contributors.  See CONTRIBUTORS.md.
 * Work on LensKit has been funded by the National Science Foundation under
 * grants IIS 05-34939, 08-08692, 08-12148, and 10-17697.
 *
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU Lesser General Public License as
 * published by the Free Software Foundation; either version 2.1 of the
 * License, or (at your option) any later version.
 *
 * This program 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
 * this program; if not, write to the Free Software Foundation, Inc., 51
 * Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
 */
package org.grouplens.lenskit.eval.traintest;

import org.grouplens.lenskit.data.history.RatingVectorUserHistorySummarizer;
import org.grouplens.lenskit.vectors.SparseVector;

/**
 * Helper class for implementing TestUser.
 *
 * @author GroupLens Research
 */
public abstract class AbstractTestUser implements TestUser {
    /**
     * Get the user ID from {@link #getTestHistory()}.
     * @return The user ID.
     */
    @Override
    public long getUserId() {
        return getTestHistory().getUserId();
    }

    /**
     * Get the test ratings from {@link #getTestHistory()}.
     * @return The test ratings.
     */
    @Override
    public SparseVector getTestRatings() {
        // Since the summarizer is memoized, it will only run once.
        return RatingVectorUserHistorySummarizer.makeRatingVector(getTestHistory());
    }
}