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NumPDFkNNC::NumPDFkNNC(UIntT,const NumMagnitudeC &) NumPDFC::Copy(void) const NumPDFC::Fit(const NumVLDataSetC &) NumPDFC::Fit(const NumVVDataSetC &) NumFuncC::IsA(const DPEntityC &) NumFuncC::Copy(void) const NumFuncC::operator=(const NumFuncC &) NumFuncC::Evaluate(const VectorC &) const NumFuncC::Evaluate(const DListC &) const NumFuncC::operator()(const VectorC &) const NumFuncC::Jacobian(const VectorC &) const NumFuncC::GetInfo(void) const NumFuncC::GetName(void) const NumFuncC::SizeX(void) const NumFuncC::SizeY(void) const NumFuncC::Save(ostream &) const DPProcessC::Apply(const InT &) DPProcessC::ApplyArray(const SArray1dC &,SArray1dC &) DPProcessC::operator=(const DPProcessC &) DPProcessC::Copy(void) const DPProcessBaseC::InputType(void) const DPProcessBaseC::OutputType(void) const DPProcessBaseC::IsStateless(void) const DPProcessBaseC::OpType(void) const DPProcessBaseC::operator=(const DPProcessBaseC &) DPEntityC::operator=(const DPEntityC &) DPEntityC::Body(void) DPEntityC::Body(void) const DPEntityC::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

NumPDFkNNC
k-Nearest-Neighbour probability density estimator.
include	"amma/Num/NumPDFkNN.hh"
User Level:	Default
Library:	NumPDF
Example:	testNumPDF.cc
Section:	Pattern Recognition.Probability Density Functions.Implementation
In Scope:	std

Comments:
Estimates the probability density function using the closest k points in feature space for each class. Note that this approach is slow since it has to calculate the distance to each sample in the training data and it concentrates probability mass in the tails of the distribution. [Model Selection in Probability Density Estimation using Gaussian Mixtures, Lucia Sardo, pp11-12, May 1997]

Probability of belonging to each class is estimated from the volume required to enclose k samples from that class. The distance to the kth sample is used as the radius of a hypersphere whose volume is calculated.

public NumPDFC

NumPDFkNNC(UIntT k,const NumMagnitudeC & magnitude)

Constructor

k	number of neighbours to consider
magnitude	metric to use for measuring distance in feature space

NumPDFC Copy() const

Makes a deep copy

void Fit(const NumVLDataSetC & trainL)

Fits a pdf using labelled samples

void Fit(const NumVVDataSetC & trainP)

Fits a pdf using samples and corresponding class probability vectors

BooleanT IsA(const DPEntityC & pb)

Check if an object is a NumFuncC.

NumFuncC Copy() const

Makes a deep copy

NumFuncC & operator=(const NumFuncC & oth)

Assignment operator

VectorC Evaluate(const VectorC & X) const

Evaluates function Y=f(X)

DListC<VectorC> Evaluate(const DListC<VectorC> & listX) const

Evaluates function Y=f(X) for a list of X

VectorC operator()(const VectorC & X) const

Evaluates function Y=f(X)

MatrixC Jacobian(const VectorC & X) const

Evaluates Jacobian df(X)/dX
Note that this is not const=0 since the base class will calculate a numerical estimate of the Jacobian using differences if the member function is not overloaded in derived classes to provide an analytical solution.

const StringC GetInfo() const

Gets string describing object

const StringC GetName() const

Gets type name of the object

UIntT SizeX() const

Input vector dimension

UIntT SizeY() const

Output vector dimension

BooleanT Save(ostream & out) const

Writes object to stream, cna be loaded using constructor

VectorC Apply(const VectorC & dat)

Apply operation.
NB. This may become constant in the future, but the situation isn't clear at the moment.

IntT ApplyArray(const SArray1dC<VectorC> & in,SArray1dC<VectorC> & out)

Streaming version.

const DPProcessC<VectorC,VectorC> operator=(const DPProcessC<VectorC,VectorC> & in)

Assignment operator

const DPProcessC<VectorC,VectorC> Copy() const

Make a copy of this process. Some type defs.

const type_info & InputType() const

Get input type.

const type_info & OutputType() const

Get input type.

BooleanT IsStateless() const

Is operation stateless ?

DPProcessBaseBodyC::ProcTypeT OpType() const

Operation type lossy/lossless.

const DPProcessBaseC & operator=(const DPProcessBaseC & oth)

Assignment operator.

const DPEntityC & operator=(const DPEntityC & dat)

Assignment.

DPEntityBodyC & Body()

Access body.

const DPEntityBodyC & Body() const

Access body.

BooleanT Save(ostream & out) const

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

Assignment.

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

Comparison operator.

BooleanT operator!=(const RCHandleC<DPEntityBodyC> & 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.

DPEntityBodyC & Body()

Direct access to body.

const DPEntityBodyC & Body() const

Constant access to body.