Package gov.nih.mipav.view.renderer.WildMagic.ProstateFramework.liblinearsvm

Class Train

  • public class Train
extends java.lang.Object
    Copyright (c) 2007-2014 The LIBLINEAR Project. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither name of copyright holders nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

    • Field Detail

      • bias

        private double bias

      • cross_validation

        private boolean cross_validation

      • inputFilename

        private java.lang.String inputFilename

      • modelFilename

        private java.lang.String modelFilename

      • nr_fold

        private int nr_fold

      • model

        private Model model

    • Constructor Detail

      • Train

        public Train()

    • Method Detail

      • do_cross_validation

        private void do_cross_validation()

      • exit_with_help

        private void exit_with_help()

      • getBias

        double getBias()

      • parse_command_line

        void parse_command_line​(java.lang.String[] argv)

      • setParameters

        private void setParameters()

      • readProblem

        public static Problem readProblem​(java.io.File file,
                                  double bias)
                           throws java.io.IOException,
                                  InvalidInputDataException
        reads a problem from LibSVM format
        Parameters:
        filename - the name of the svm file
        Throws:
        java.io.IOException - obviously in case of any I/O exception ;)
        InvalidInputDataException - if the input file is not correctly formatted

      • constructProblem

        private static Problem constructProblem​(java.util.List<java.lang.Integer> vy,
                                        java.util.List<FeatureNode[]> vx,
                                        int max_index,
                                        double bias)

      • run

        public void run​(Features[] featureArray,
                int numberFeatures)

      • run

        public void run​(java.util.List<java.lang.Integer> classes,
                java.util.List<FeatureNode[]> feature,
                int numberFeatures)

      • getModel

        public Model getModel()