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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 _DYNAMICAL_GMM_H_
#define _DYNAMICAL_GMM_H_
#include <vector>
#include "dynamical.h"
#include "fgmm/fgmm++.hpp"
class DynamicalGMR : public Dynamical
{
public:
Gmm *gmm;
private:
u32 nbClusters;
u32 covarianceType;
u32 initType;
float *data;
public:
DynamicalGMR() : gmm(0), data(0), nbClusters(2), covarianceType(2), initType(1){type = DYN_GMR;}
void Train(std::vector< std::vector<fvec> > trajectories, ivec labels);
std::vector<fvec> Test( const fvec &sample, const int count);
fvec Test( const fvec &sample);
fVec Test( const fVec &sample);
const char *GetInfoString();
void SaveModel(std::string filename);
bool LoadModel(std::string filename);
void SetParams(u32 nbClusters, u32 covarianceType, u32 initType);
};
#endif // _DYNAMICAL_GMM_H_
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