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RAVL, Recognition And Vision Library
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Ravl - Pattern Recognition - Classify - ClassifyDiscriminantFunctionBodyC
 

  PUBLIC
ClassifyDiscriminantFunctionBodyC::ClassifyDiscriminantFunctionBodyC(const FunctionC &)
ClassifyDiscriminantFunctionBodyC::Classify(const VectorC &) const
ClassifyDiscriminantFunctionBodyC::Confidence(const VectorC &) const
ClassifyDiscriminantFunctionBodyC::Discriminant(void) const
ClassifyVectorBodyC::Classify(const VectorC &) const
ClassifyVectorBodyC::Confidence(const VectorC &) const
ClassifyVectorBodyC::Labels(void) const
RCBodyVC::Save(ostream &) const
RCBodyVC::Save(BinOStreamC &) const
RCBodyVC::Copy(void) const
RCBodyVC::DeepCopy(UIntT) const
RCBodyC::References(void) const
RCBodyC::Copy(void) const
RCBodyC::DeepCopy(UIntT) const
RCBodyC::IncRefCounter(void)
RCBodyC::DecRefCounter(void)

   ClassifyDiscriminantFunctionBodyC   
 
Create a classifier based on a descriminant function.
 
include "Ravl/PatternRec/ClassifyDiscriminantFunction.hh"
Source file:Ravl/PatternRec/Classify/ClassifyDiscriminantFunction.hh
User Level:Develop
Library:RavlPatternRec
In Scope:RavlN

Comments:
This classifier returns the label with the highest value.

Parent Classes: Variables:
FunctionC func;

Methods:
ClassifyDiscriminantFunctionBodyC(const FunctionC & nfunc)
Create classifier from a discriminant function.

UIntT Classify(const VectorC & data) const
Classify vector 'data' return the most likely label.

VectorC Confidence(const VectorC & data) const
Estimate the confidence for each label.
The meaning of the confidence assigned to each label depends on the function used. The higher the confidence the more likely it is the label is correct. The sum of the vector has been normalised to 1.

const FunctionC & Discriminant() const
Access discriminant function.

#include "Ravl/PatternRec/ClassifyVector.hh"
UIntT Classify(const VectorC & data) const
Classify vector 'data' return the most likely label.

VectorC Confidence(const VectorC & data) const
Estimate the confidence for each label.
The meaning of the confidence assigned to each label depends on the classifier used. The higher the confidence the more likely it is the label is correct.

UIntT Labels() const
Returns the maximum number of output labels.

#include "Ravl/RCHandleV.hh"
bool Save(ostream & out) const
Save to stream 'out'.

bool Save(BinOStreamC & out) const
Save to binary stream 'out'.

RCBodyVC & Copy() const
Make copy of body.
This should be provided in derived classes. this funtion will issue an assertion failure if called.

RCBodyC & DeepCopy(UIntT levels = ((UIntT))) const
Make a deep copy of body.
This should be provided in derived classes. this funtion will issue an assertion failure if called.

#include "Ravl/RefCounter.hh"
UIntT References() const
Access count of handles open to this object.

RCBodyC & Copy() const
Make copy of body.
This should be provided in derived classes. this funtion will issue an assertion failure if called.

RCBodyC & DeepCopy(UIntT levels = ((UIntT))) const
Make a deep copy of body.
This should be provided in derived classes. this funtion will issue an assertion failure if called.

void IncRefCounter()
Increment reference counter.

bool DecRefCounter()
Decrement reference counter.


Maintainer:Charles Galambos, Documentation by CxxDoc: Tue Aug 13 09:59:30 2002