001/*
002 * Copyright (c) 2015-2020, Oracle and/or its affiliates. All rights reserved.
003 *
004 * Licensed under the Apache License, Version 2.0 (the "License");
005 * you may not use this file except in compliance with the License.
006 * You may obtain a copy of the License at
007 *
008 *     http://www.apache.org/licenses/LICENSE-2.0
009 *
010 * Unless required by applicable law or agreed to in writing, software
011 * distributed under the License is distributed on an "AS IS" BASIS,
012 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express implied.
013 * See the License for the specific language governing permissions and
014 * limitations under the License.
015 */
016
017package org.tribuo.classification.libsvm;
018
019import com.oracle.labs.mlrg.olcut.config.ArgumentException;
020import com.oracle.labs.mlrg.olcut.config.ConfigurationManager;
021import com.oracle.labs.mlrg.olcut.config.Options;
022import com.oracle.labs.mlrg.olcut.config.UsageException;
023import org.tribuo.Model;
024import org.tribuo.Trainer;
025import org.tribuo.classification.Label;
026import org.tribuo.classification.TrainTestHelper;
027import org.tribuo.classification.ensemble.ClassificationEnsembleOptions;
028import org.tribuo.data.DataOptions;
029
030import java.io.IOException;
031import java.util.logging.Logger;
032
033/**
034 * Build and run a LibSVM classifier for a standard dataset.
035 */
036public class TrainTest {
037
038    private static final Logger logger = Logger.getLogger(TrainTest.class.getName());
039
040    public static class TrainTestOptions implements Options {
041        @Override
042        public String getOptionsDescription() {
043            return "Trains and tests a LibSVM model on the specified datasets.";
044        }
045
046        public DataOptions general;
047        public LibSVMOptions libsvmOptions;
048        public ClassificationEnsembleOptions ensembleOptions;
049    }
050
051    public static void main(String[] args) throws IOException {
052        TrainTestOptions o = new TrainTestOptions();
053        try (ConfigurationManager cm = new ConfigurationManager(args, o)) {
054            Trainer<Label> trainer = o.libsvmOptions.getTrainer();
055            trainer = o.ensembleOptions.wrapTrainer(trainer);
056            Model<Label> model = TrainTestHelper.run(cm, o.general, trainer);
057            if (model instanceof LibSVMClassificationModel) {
058                logger.info("Used " + ((LibSVMClassificationModel) model).getNumberOfSupportVectors() + " support vectors");
059            }
060        } catch (UsageException e) {
061            System.out.println(e.getUsage());
062        } catch (ArgumentException e) {
063            System.out.println("Invalid argument: " + e.getMessage());
064        }
065    }
066}