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RbfOptionC::RbfOptionC(void) RbfOptionC::RbfOptionC(const RbfOptionC &) RbfOptionC::RbfOptionC(istream &) RbfOptionC::StartFrom(void) const RbfOptionC::StartFrom(IntT) RbfOptionC::StopAt(void) const RbfOptionC::StopAt(IntT) RbfOptionC::Cycles(void) const RbfOptionC::Cycles(IntT) RbfOptionC::TrainSamples(void) const RbfOptionC::TrainSamples(IntT) RbfOptionC::ValSamples(void) const RbfOptionC::ValSamples(IntT) RbfOptionC::LocSamples(void) const RbfOptionC::LocSamples(IntT) RbfOptionC::ProbLo(void) const RbfOptionC::ProbLo(RealT) RbfOptionC::ProbHi(void) const RbfOptionC::ProbHi(RealT) RbfOptionC::Full(void) const RbfOptionC::Full(BooleanT) RbfOptionC::NCall(void) const RbfOptionC::NCall(IntT) RbfOptionC::Itmx(void) const RbfOptionC::Itmx(IntT) RbfOptionC::EmAlgorithm(void) const RbfOptionC::EmAlgorithm(StringC &) RbfOptionC::PpcaDim(void) const RbfOptionC::PpcaDim(IntT) RbfOptionC::ValAlgorithm(void) const RbfOptionC::ValAlgorithm(StringC &) RbfOptionC::ConfAlgorithm(void) const RbfOptionC::ConfAlgorithm(StringC &) RbfOptionC::ModelSelAlgorithm(void) const RbfOptionC::ModelSelAlgorithm(StringC &) RbfOptionC::operator<<(ostream &,const RbfOptionC &) RbfOptionC::operator>>(istream &,RbfOptionC &)

RbfOptionC
Put a brief description of your class
include	"amma/Num/RbfOption.hh"
User Level:	Default
Library:	NumRBF
Example:	doRbfSelect.cc
Section:	default.Kieron J Messer
In Scope:	std

Comments:
Put a more detailed description of your class here. You use embedded html to make it clearer in the html documentation

IntT startFrom;

how many mixtures to start from

IntT stopAt;

how many mixtures to stop at

IntT cycles;

how many cycles of algorithm to use

IntT trainSamples;

how many training samples to use (if 0 take all)

IntT valSamples;

how many validation samples to use (if 0 use same as trainSamples)

IntT locSamples;

how many times we place the window (if 0 use same as trainSamples)

RealT plo;

low range of pemp

RealT phi;

high range of pemp

BooleanT full;

use full covariance matrix

IntT ncall;

the number of calls to use for estimation of integral

IntT itmx;

the number of iterations to use for esteimation of integral

StringC emAlg;

which version of EM algorithm

IntT ppcaDim;

how many dimensions to use in PPCA

StringC valAlg;

which validation algorithm should we use

StringC confAlg;

which confidence algorithm should we use

StringC selAlg;

which Model Selection Algorithm you should use

RbfOptionC()

Default constructor

RbfOptionC(const RbfOptionC & rbfOpt)

Copy constructor

RbfOptionC(istream & in)

Stream constructor

IntT StartFrom() const

Look at value

void StartFrom(IntT st)

Set value

IntT StopAt() const

Look at value

void StopAt(IntT st)

Set value

IntT Cycles() const

Look at value

void Cycles(IntT st)

Set value

IntT TrainSamples() const

Look at value

void TrainSamples(IntT st)

Set value

IntT ValSamples() const

Look at value

void ValSamples(IntT st)

Set value

IntT LocSamples() const

Look at value

void LocSamples(IntT st)

Set value

RealT ProbLo() const

Look at value

void ProbLo(RealT st)

Set value

RealT ProbHi() const

Look at value

void ProbHi(RealT st)

Set value

BooleanT Full() const

Look at value

void Full(BooleanT f)

Set value

IntT NCall() const

Look at value

void NCall(IntT st)

Set value

IntT Itmx() const

Look at value

void Itmx(IntT st)

Set value

StringC EmAlgorithm() const

Look at value

void EmAlgorithm(StringC & st)

Set value

IntT PpcaDim() const

Look at value

void PpcaDim(IntT st)

Set value

StringC ValAlgorithm() const

Look at value

void ValAlgorithm(StringC & st)

Set value

StringC ConfAlgorithm() const

Look at value

void ConfAlgorithm(StringC & st)

Set value

StringC ModelSelAlgorithm() const

Look at value

void ModelSelAlgorithm(StringC & st)

Set value

ostream & operator<<(ostream & s,const RbfOptionC & out)

Output stream operator

istream & operator>>(istream & s,RbfOptionC & in)

Input stream operator