#include <ASeparateFeatureClassifier.hpp>
Inheritance diagram for ASeparateFeatureClassifier:
Purpose: Define the concept of Separate Feature Classifier in which multivalue features are handled independently.
@ Copyrights: Bernard De Cuyper & Eddy Fraiha 2002, Eggs & Pictures. MIT/Open BSD copyright model.
Public Methods | |
ASeparateFeatureClassifier (int n) | |
virtual | ~ASeparateFeatureClassifier () |
virtual int | numberOfFeatures () |
virtual int | numberOfCounts ()=0 |
virtual void | start ()=0 |
virtual void | learn (double newValue) |
virtual void | unlearn (double newValue) |
virtual void | learn (RealVector &newValue) |
virtual void | unlearn (RealVector &newValue) |
virtual void | end ()=0 |
virtual double | distance2 (RealVector &featureVector) |
virtual double | distance2 (double feature) |
virtual double | P (RealVector &featureVector) |
virtual double | P (double feature) |
virtual double | L (double featureVector) |
virtual double | L (RealVector &featureVector) |
virtual void | output (FILE *file) |
virtual void | output () |
Protected Attributes | |
int | nFeatures |
double | PI |