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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_BOOST_H_
#define _CLASSIFIER_BOOST_H_
#include <vector>
#include "classifier.h"
#include "basicOpenCV.h"
class ClassifierBoost : public Classifier
{
private:
CvBoost *model;
u32 weakCount;
int weakType; // 0: random projection, 1: random rectangle, 2: random circle, 3: random GMM, 4: random SVM
float scoreMultiplier;
ivec features;
fvec errorWeights;
int boostType;
public:
std::vector<fvec> samples;
ivec labels;
static int learnerCount;
static std::vector<fvec> learners;
static int currentLearnerType;
static int svmCount; // number of 'support vectors' for the random SVM
public:
ClassifierBoost();
~ClassifierBoost();
void Train(std::vector< fvec > samples, ivec labels);
float Test(const fvec &sample) const ;
float Test(const fvec &sample, fvec *responses) const ;
fvec GetErrorWeights() const {return errorWeights;}
const char *GetInfoString() const ;
void SetParams(u32 weakCount, int weakType, int boostType, int svmCount);
void InitLearners(fvec xMin, fvec xMax);
};
#endif // _CLASSIFIER_BOOST_H_
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