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Command-line tools for interacting with LensKit.
/*
* 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.lenskit.cli.commands;
import com.google.auto.service.AutoService;
import com.google.common.base.Stopwatch;
import net.sourceforge.argparse4j.inf.ArgumentParser;
import net.sourceforge.argparse4j.inf.Namespace;
import org.lenskit.api.RecommenderBuildException;
import org.lenskit.LenskitConfiguration;
import org.lenskit.LenskitRecommenderEngine;
import org.lenskit.LenskitRecommenderEngineBuilder;
import org.lenskit.ModelDisposition;
import org.grouplens.lenskit.util.io.CompressionMode;
import org.lenskit.cli.Command;
import org.lenskit.cli.util.InputData;
import org.lenskit.cli.util.ScriptEnvironment;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.util.List;
/**
* @author GroupLens Research
*/
@AutoService(Command.class)
public class TrainModel implements Command {
private final Logger logger = LoggerFactory.getLogger(TrainModel.class);
@Override
public String getName() {
return "train-model";
}
@Override
public String getHelp() {
return "train a recommender model";
}
@Override
public void execute(Namespace opts) throws IOException, RecommenderBuildException {
Context ctx = new Context(opts);
LenskitConfiguration dataConfig = ctx.input.getConfiguration();
LenskitRecommenderEngineBuilder builder = LenskitRecommenderEngine.newBuilder();
for (LenskitConfiguration config: ctx.environment.loadConfigurations(ctx.getConfigFiles())) {
builder.addConfiguration(config);
}
builder.addConfiguration(dataConfig, ModelDisposition.EXCLUDED);
Stopwatch timer = Stopwatch.createStarted();
LenskitRecommenderEngine engine = builder.build();
timer.stop();
logger.info("built model in {}", timer);
File output = ctx.getOutputFile();
CompressionMode comp = CompressionMode.autodetect(output);
logger.info("writing model to {}", output);
try (OutputStream raw = new FileOutputStream(output);
OutputStream stream = comp.wrapOutput(raw)) {
engine.write(stream);
}
}
public void configureArguments(ArgumentParser parser) {
parser.description("Trains a recommendation model and write it to disk.");
ScriptEnvironment.configureArguments(parser);
InputData.configureArguments(parser);
parser.addArgument("-o", "--output-file")
.type(File.class)
.metavar("FILE")
.setDefault("model.bin")
.help("write trained model to FILE");
parser.addArgument("config")
.type(File.class)
.nargs("+")
.metavar("CONFIG")
.help("load algorithm configuration from CONFIG");
}
private static class Context {
private final Namespace options;
private final ScriptEnvironment environment;
private final InputData input;
public Context(Namespace opts) {
options = opts;
environment = new ScriptEnvironment(opts);
input = new InputData(environment, opts);
}
public List getConfigFiles() {
return options.get("config");
}
public File getOutputFile() {
return options.get("output_file");
}
}
}
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