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.learner.init;
031
032import gov.sandia.cognition.math.matrix.Matrix;
033import gov.sandia.cognition.math.matrix.mtj.SparseMatrixFactoryMTJ;
034
035/**
036 * Completely ignores desired dimensions and returns what it wants
037 * @author Sina Samangooei (ss@ecs.soton.ac.uk)
038 *
039 */
040public class HardCodedInitStrat implements InitStrategy{
041
042        private Matrix mat;
043
044        @Override
045        public Matrix init(int rows, int cols) {
046                int mrows = mat.getNumRows();
047                int mcols = mat.getNumColumns();
048                if(mrows == rows && mcols == cols) return mat;
049
050                if(rows == cols && mcols == rows){
051                        Matrix retMat = SparseMatrixFactoryMTJ.getSparseDefault().createMatrix(rows, rows);
052                        for (int i = 0; i < mcols; i++) {
053                                retMat.setElement(i, i, mat.getElement(0, i));
054                        }
055                        return retMat;
056                }
057                return mat;
058        }
059
060        /**
061         * The matrix to init things to
062         * @param m
063         */
064        public void setMatrix(Matrix m){
065                this.mat = m;
066        }
067
068}