ANBC_Model.h

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#ifndef GRT_ANBC_MODEL_HEADER
#define GRT_ANBC_MODEL_HEADER

#include "../../DataStructures/VectorFloat.h"
#include "../../DataStructures/MatrixFloat.h"

GRT_BEGIN_NAMESPACE

class GRT_API ANBC_Model{
public:
 ANBC_Model(void){ N=0; classLabel = 0; gamma=2.0; threshold=0.0; trainingMu=0.0; trainingSigma=0.0;};
 ~ANBC_Model(void){};
 
 bool train( const UINT classLabel, const MatrixDouble &trainingData, const VectorFloat &weightsVector );
 Float predict( const VectorFloat &x );
 Float predictUnnormed( const VectorFloat &x );
 inline Float gauss(const Float x,const Float mu,const Float sigma);
 inline Float unnormedGauss(const Float x,const Float mu,const Float sigma);
 void recomputeThresholdValue(const Float gamma);
 
public:
 UINT N; //The number of dimensions in the problem
 UINT classLabel; //The label of the class this model represents
 Float threshold; //The classification threshold value
 Float gamma; //The number of standard deviations to use for the threshold
 Float trainingMu; //The average confidence value in the training data
 Float trainingSigma; //The simga confidence value in the training data
 VectorFloat mu; //A vector to hold the mean values for each dimension
 VectorFloat sigma; //A vector to hold the sigma values for each dimension
 VectorFloat weights; //A vector to hold the weights for each dimension
};

GRT_END_NAMESPACE

#endif //GRT_ANBC_MODEL_HEADER