#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 |
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