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NumErrorC::NumErrorC(void) NumErrorC::NumErrorC(istream &) NumErrorC::NumErrorC(const NumErrorC &) NumErrorC::Copy(void) const NumErrorC::operator=(const NumErrorC &) NumErrorC::Error(const NumVLDataC &,const NumClassifyC &) const NumErrorC::Error(const NumVLDataSetC &,const NumClassifyC &) const NumErrorC::PMC(const NumVLDataSetC &,const NumClassifyC &) const NumErrorC::GetInfo(void) const NumErrorC::GetName(void) const NumErrorC::Save(ostream &) const RCHandleAC::Abstract(void) RCHandleAC::IsHandleType(const DT &) const RCHandleAC::CheckHandleType(const DT &) const RCHandleAC::Save(ostream &) const RCHandleAC::Copy(void) const RCHandleC::IsValid(void) const RCHandleC::IsValidObject(void) const RCHandleC::operator=(const RCHandleC &) RCHandleC::operator==(const RCHandleC &) const RCHandleC::operator!=(const RCHandleC &) const RCHandleC::Hash(void) const RCHandleC::IsConst(void) const RCHandleC::IsNotConst(void) const RCHandleC::SetConst(void) const RCHandleC::Invalidate(void) RCHandleC::Body(void) RCHandleC::Body(void) const

NumErrorC
Handle class for classification error counting.
include	"amma/Num/NumError.hh"
User Level:	Default
Library:	NumPerformance
Example:	testNumPerformance.cc
Section:	Pattern Recognition.Performance Evaluation
In Scope:	std

Comments:
Handle class for classification error counting.

public RCHandleAC<class Bod>

NumErrorCountC
NumErrorWeightC

NumErrorC()

Default constructor

NumErrorC(istream & in)

Constructs from stream

NumErrorC(const NumErrorC & oth)

Copy constructor

NumErrorC Copy() const

Makes a deep copy

NumErrorC & operator=(const NumErrorC & oth)

Assignment operator

RealT Error(const NumVLDataC & data,const NumClassifyC & classifier) const

Determines pattern error value

data	data pair containing feature vector and correct label
classifier	classifier to test

The classifier is used to predict the label given the feature vector. The label is compared with the correct label and an error cost is returned.

DListC<RealT> Error(const NumVLDataSetC & data,const NumClassifyC & classifier) const

Determines list of patterns error value

data	list of data pairs containing feature vectors and correct label
classifier	classifier to test (must be trained)

The classifier is used to predict the label given the feature vector. The label is compared with the correct label and an error cost is returned.

RealT PMC(const NumVLDataSetC & data,const NumClassifyC & classifier) const

Determines the probability of mis-classification

data	list of data pairs containing feature vectors and correct labels
classifier	trained classifier to test

const StringC GetInfo() const

Gets string describing object

const StringC GetName() const

Gets type name of the object

BooleanT Save(ostream & out) const

Writes object to stream, cna be loaded using constructor

RCAbstractC Abstract()

Create an abstract handle to this object.

BooleanT IsHandleType(const DT &) const

Is handle of given type ?

void CheckHandleType(const DT & dummy) const

Check handle type. Throw an expception if not.

BooleanT Save(ostream & out) const

Save to ostream.

RCHandleAC<NumErrorBC> Copy() const

Creat a deep copy of this object.
protected:

BooleanT IsValid() const

Check its a valid handle.

BooleanT IsValidObject() const

Check its a valid handle, and that the object is pointed to is also valid.

RCHandleC<NumErrorBC> & operator=(const RCHandleC<NumErrorBC> & oth)

Assignment.

BooleanT operator==(const RCHandleC<NumErrorBC> & oth) const

Comparison operator.

BooleanT operator!=(const RCHandleC<NumErrorBC> & oth) const

Comparison operator.

UIntT Hash() const

Hash function.x

BooleanT IsConst() const

Is object constant ?

BooleanT IsNotConst() const

Is object not constant ?

void SetConst(void) const

Lock the object.
This is const as a convience though it actual modified the object, often object you wish to ensure are constant already have const set. protected:

void Invalidate()

Turn this into an invalid handle.

NumErrorBC & Body()

Direct access to body.

const NumErrorBC & Body() const

Constant access to body.