001/**
002 * Copyright (c) 2011, The University of Southampton and the individual contributors.
003 * All rights reserved.
004 *
005 * Redistribution and use in source and binary forms, with or without modification,
006 * are permitted provided that the following conditions are met:
007 *
008 *   *  Redistributions of source code must retain the above copyright notice,
009 *      this list of conditions and the following disclaimer.
010 *
011 *   *  Redistributions in binary form must reproduce the above copyright notice,
012 *      this list of conditions and the following disclaimer in the documentation
013 *      and/or other materials provided with the distribution.
014 *
015 *   *  Neither the name of the University of Southampton nor the names of its
016 *      contributors may be used to endorse or promote products derived from this
017 *      software without specific prior written permission.
018 *
019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
029 */
030package org.openimaj.ml.linear.experiments.sinabill;
031
032import gov.sandia.cognition.math.matrix.Matrix;
033
034import java.io.File;
035import java.io.FilenameFilter;
036import java.util.ArrayList;
037
038import org.openimaj.io.IOUtils;
039import org.openimaj.math.matrix.CFMatrixUtils;
040import org.openimaj.ml.linear.learner.BilinearSparseOnlineLearner;
041
042import com.jmatio.io.MatFileWriter;
043import com.jmatio.types.MLArray;
044import com.jmatio.types.MLDouble;
045
046/**
047 * 
048 * @author Sina Samangooei (ss@ecs.soton.ac.uk)
049 */
050public class BillWordInvestigation extends BilinearExperiment {
051
052        public static void main(String[] args) throws Exception {
053                final BillWordInvestigation bi = new BillWordInvestigation();
054                bi.performExperiment();
055        }
056
057        @Override
058        public void performExperiment() throws Exception {
059                final String exproot = "/Users/ss/Dropbox/TrendMiner/deliverables/year2-18month/Austrian Data/streamingExperiments/experiment_1392738388042";
060                final File[] folds = new File(exproot).listFiles(new FilenameFilter() {
061
062                        @Override
063                        public boolean accept(File dir, String name) {
064                                return name.contains("fold");
065                        }
066                });
067
068                final int f = (folds.length - 1) / 2;
069                final File fold = folds[f];
070
071                final File learner = fold.listFiles()[0];
072                final BilinearSparseOnlineLearner l = IOUtils.read(learner, BilinearSparseOnlineLearner.class);
073
074                final Matrix words = l.getW();
075                final Matrix users = l.getU();
076                final String name = "fold_" + f;
077                final MatFileWriter writ = new MatFileWriter();
078                final ArrayList<MLArray> col = new ArrayList<MLArray>();
079                col.add(new MLDouble("words_" + name, CFMatrixUtils.asJama(words).getArray()));
080                col.add(new MLDouble("users_" + name, CFMatrixUtils.asJama(users).getArray()));
081                writ.write(new File("/Users/ss/" + name + ".mat"), col);
082        }
083}