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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 _REGRESSOR_H_
#define _REGRESSOR_H_
#include <vector>
#include "mymaths.h"
extern "C" enum {REGR_SVR, REGR_RVM, REGR_GMR, REGR_GPR, REGR_KNN, REGR_MLP, REGR_LINEAR, REGR_LWPR, REGR_KRLS, REGR_NONE} regressorType;
class Regressor
{
protected:
std::vector< fvec > samples;
ivec classes;
ivec labels;
std::vector< fvec >testSamples;
ivec testClasses;
ivec testLabels;
u32 dim;
u32 posClass;
f32 classThresh;
f32 classSpan;
s32 class2labels[255];
ivec labels2class;
bool bFixedThreshold;
public:
std::vector<fvec> crossval;
fvec fmeasures;
fvec trainErrors, testErrors;
int type;
int outputDim;
Regressor() : posClass(0), bFixedThreshold(true), classThresh(0.5f), classSpan(0.1f), outputDim(-1), type(REGR_NONE){}
std::vector <fvec> GetSamples(){return samples;}
void SetOutputDim(int outputDim){this->outputDim = outputDim;}
virtual ~Regressor(){}
virtual void Train(std::vector< fvec > samples, ivec labels){}
virtual fvec Test( const fvec &sample){ return fvec(); }
virtual fVec Test(const fVec &sample){ if (dim==2) return fVec(Test((fvec)sample)); fvec s = (fvec)sample; s.resize(dim,0); return Test(s);}
virtual const char *GetInfoString(){return NULL;}
virtual void SaveModel(std::string filename){}
virtual bool LoadModel(std::string filename){return false;}
};
#endif // _REGRESSOR_H_
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