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Facilities for evaluating recommender algorithms.
/*
* 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.eval.Attributed;
import org.grouplens.lenskit.eval.data.traintest.TTDataSet;
import org.grouplens.lenskit.eval.metrics.Metric;
import org.grouplens.lenskit.util.table.writer.TableWriter;
import javax.annotation.Nonnull;
import javax.annotation.Nullable;
import java.util.List;
/**
* The outputs for an experiment.
* @author GroupLens Research
*/
class ExperimentOutputs {
private final ExperimentOutputLayout layouts;
@Nonnull
private final TableWriter resultsWriter;
@Nullable
private final TableWriter userWriter;
private final List> metrics;
public ExperimentOutputs(ExperimentOutputLayout eol,
@Nonnull TableWriter results,
@Nullable TableWriter user,
List> ms) {
layouts = eol;
resultsWriter = results;
userWriter = user;
metrics = ms;
}
@Nonnull
public TableWriter getResultsWriter() {
return resultsWriter;
}
@Nullable
public TableWriter getUserWriter() {
return userWriter;
}
List> getMetrics() {
return metrics;
}
public ExperimentOutputs getPrefixed(Attributed algo, TTDataSet data) {
TableWriter results = layouts.prefixTable(resultsWriter, algo, data);
TableWriter user = layouts.prefixTable(userWriter, algo, data);
return new ExperimentOutputs(layouts, results, user, metrics);
}
}
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