SeparateGaussianClassifier.hpp Source File

00001 #ifndef __SeparateGaussianClassifier__
00002 #define __SeparateGaussianClassifier__
00003 
00022 #include "ASeparateFeatureClassifier.hpp"
00023 
00024 class SeparateGaussianClassifier : public ASeparateFeatureClassifier
00025 {
00026 protected:
00027 
00028 RealVector*             meanValue;
00029 RealVector*             sigma;
00030 
00031 double                  root2nPI;               // root(2*PI)^nFeature
00032 double                  logroot2nPI;
00033 
00034 double                  sumLogSigma;
00035 double                  productSigma;
00036 
00037 
00038 protected:
00039 
00040 virtual double reducedValue(int i, double featurei)
00041         { return ((featurei-meanValue->get0(i))/(sigma->get0(i)+1e-12)); }
00042 
00043 public:
00044 
00045 
00046 SeparateGaussianClassifier(int n);
00047 virtual ~SeparateGaussianClassifier(){delete meanValue; delete sigma;}
00048 
00049 virtual double distance2(RealVector& featureVector);
00050 
00051 // learning
00052 virtual void start();
00053 
00054 // probability 
00055 virtual double P(RealVector& featureVector);
00056 
00057 // likelihood
00058 virtual double L(RealVector& featureVector);
00059 
00060 virtual void output(FILE* file);
00061 
00062 virtual void output()
00063         {
00064         printf("A Separate Gaussian Classifier(%d)", nFeatures);
00065         }                               
00066 };
00067 
00068 #endif