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/*********************************************************************
MLDemos: A User-Friendly visualization toolkit for machine learning
Copyright (C) 2010 Basilio Noris
Contact: mldemos@b4silio.com
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public License,
version 3 as published by the Free Software Foundation.
This library 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
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free
Software Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*********************************************************************/
#ifndef _CLASSIFIER_PEGASOS_H_
#define _CLASSIFIER_PEGASOS_H_
#include <vector>
#include "classifier.h"
#include "dlib/svm.h"
#include "dlibTypes.h"
class ClassifierPegasos : public Classifier
{
private:
float lambda;
int kernelType; // 0: linear, 1: poly, 2: rbf
float kernelParam;
int kernelDegree;
int maxSV;
int kernelTypeTrained;
void *decFunction;
public:
ClassifierPegasos():maxSV(10),lambda(0.001), kernelType(2), decFunction(0){}
~ClassifierPegasos();
void Train(std::vector< fvec > samples, ivec labels);
float Test(const fvec &sample) const ;
const char *GetInfoString() const ;
void SetParams(float lambda, int maxSV, int kernelType, float kernelParam, int kernelDegree)
{this->lambda = lambda; this->maxSV = maxSV; this->kernelType=kernelType;this->kernelParam=kernelParam;this->kernelDegree=kernelDegree;}
std::vector<fvec> GetSVs() const ;
template <int N> void KillDim();
template <int N> void TrainDim(std::vector< fvec > _samples, ivec _labels);
template <int N> float TestDim(const fvec &sample) const ;
template <int N> std::vector<fvec> GetSVsDim() const ;
};
#endif // _CLASSIFIER_PEGASOS_H_
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