Public Types
typedef FeatureGenerator::FeatureType	FeatureType
	The Feature Extracted by FeatureGenerator.

typedef BinaryClassifier < FeatureType, BayesianStump < int > >	WeakClassifierType
	The interal weak classifier.

typedef BoostableClassifier < WeakClassifierType >	ClassifierType
	The weak classifier reported by this oracle.

Public Member Functions
void	SetTrainingSet (const DataSetHandle< Aggregator > &set)
	Set the training set used to recover the threshold.

void	SetFeatureGenerator (FeatureGenerator &f)
	Associate a Feature Generator to Decision Stump Generator.

void	SetFastHeuristic (bool enable, bool reoptimize, int size)

void	LimitTrainingSetWeight (double d)

DataSetHandle< Aggregator > &	GetTrainingSet ()
	return R/W the training set

void	SetNumberOfThreads (int th)
	Change the thread number used in Multi Threading training.

void	SetPreloadSize (int n)

double	Optimize (ClassifierType &h)
	Using current metrics try to recompute parameters associated to this feature.

bool	GetHypothesis (WeakClassifierType &bestH)

Detailed Description

The hypothesis generator for BayesianStump Weak Classifier

Member Function Documentation

template<class FeatureGenerator , class Aggregator >

void BayesianStumpOracle< FeatureGenerator, Aggregator >::LimitTrainingSetWeight ( double d )

inline

MAdaBoost limits the weight of training set

The documentation for this class was generated from the following file: