/home/marsyas/marsyas/src/marsyas/ClassificationReport.h

/*
** Copyright (C) 1998-2010 George Tzanetakis <gtzan@cs.uvic.ca>
**  
** This program is free software; you can redistribute it and/or modify
** it under the terms of the GNU General Public License as published by
** the Free Software Foundation; either version 2 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., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
*/

#ifndef MARSYAS_CLASSIFICATIONREPORT_H
#define MARSYAS_CLASSIFICATIONREPORT_H

#include "MarSystem.h"


namespace Marsyas
{

//Some statistical information computed by computeSummaryStatistics
    typedef struct
    {
            mrs_natural instances;
            mrs_natural correctInstances;
            mrs_real kappa;
            mrs_real meanAbsoluteError;
            mrs_real rootMeanSquaredError;
            mrs_real relativeAbsoluteError;
            mrs_real rootRelativeSquaredError;
    }summaryStatistics;

    typedef struct
    {
    // rewritten from weka:
    // https://svn.scms.waikato.ac.nz/svn/weka/trunk/weka/src/main/java/weka/classifiers/Evaluation.java
        mrs_real sumClass;
        mrs_real sumSqrClass;
        mrs_real sumClassPredicted;
        mrs_real sumPredicted;
        mrs_real sumSqrPredicted;
        mrs_real withClass;
    } RegressionCorrelationCalculate;

    class ClassificationReport: public MarSystem
    {
        private: 
            void addControls();
            void myUpdate(MarControlPtr sender);

            realvec confusionMatrix;
            std::string classNames;

            summaryStatistics computeSummaryStatistics(const realvec& mat);
            RegressionCorrelationCalculate regCorr;

        public:
            ClassificationReport(std::string name);
            ~ClassificationReport();
            MarSystem* clone()const;
  
            void myProcess(realvec& in, realvec& out);
    };//class ClassificationReport
}//namespace Marsyas
#endif

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