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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_H_
#define _CLASSIFIER_H_
#include <vector>
#include <map>
#include "public.h"
#include "roc.h"
#include "types.h"
#include "mymaths.h"
class Classifier
{
protected:
std::vector< fvec > samples;
ivec labels;
u32 dim;
u32 posClass;
bool bSingleClass;
bool bUsesDrawTimer;
bool bMultiClass;
public:
std::map<int,int> classMap, inverseMap;
std::map<int,int> classes;
std::vector<fvec> crossval;
fvec fmeasures;
std::vector< std::vector<f32pair> > rocdata;
std::vector<const char *> roclabels;
std::map<int, std::map<int, int> > confusionMatrix[2];
Classifier(): posClass(0), bSingleClass(true), bUsesDrawTimer(true), bMultiClass(false)
{
rocdata.push_back(std::vector<f32pair>());
rocdata.push_back(std::vector<f32pair>());
roclabels.push_back("training");
roclabels.push_back("testing");
};
virtual ~Classifier(){}
std::vector <fvec> GetSamples() const {return samples;}
virtual void Train(std::vector< fvec > samples, ivec labels){}
virtual fvec TestMulti(const fvec &sample) const { return fvec(1,Test(sample));}
virtual float Test(const fvec &sample) const { return 0; }
virtual float Test(const fVec &sample) const { if(dim==2) return Test((fvec)sample); fvec s = (fvec)sample; s.resize(dim,0); return Test(s);}
virtual const char *GetInfoString() const {return NULL;}
virtual void SaveModel(const std::string filename) const {}
virtual bool LoadModel(const std::string filename){return false;}
bool SingleClass() const {return bSingleClass;}
bool UsesDrawTimer() const {return bUsesDrawTimer;}
bool IsMultiClass() const {return bMultiClass;}
int Dim() const {return dim;}
};
#endif // _CLASSIFIER_H_
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