TMVA::CCPruner Class Reference

Definition at line 65 of file CCPruner.h.

Public Types
typedef std::vector< Event * >	EventList

Public Member Functions
	CCPruner (DecisionTree *t_max, const EventList *validationSample, SeparationBase *qualityIndex=NULL)
	constructor More...
	CCPruner (DecisionTree *t_max, const DataSet *validationSample, SeparationBase *qualityIndex=NULL)
	constructor More...
	~CCPruner ()
void	SetPruneStrength (Float_t alpha=-1.0)
void	Optimize ()
	determine the pruning sequence More...
std::vector< TMVA::DecisionTreeNode * >	GetOptimalPruneSequence () const
	return the prune strength (=alpha) corresponding to the prune sequence More...
Float_t	GetOptimalQualityIndex () const
Float_t	GetOptimalPruneStrength () const

Private Attributes
Float_t	fAlpha
const EventList *	fValidationSample
	regularization parameter in CC pruning More...
const DataSet *	fValidationDataSet
	the event sample to select the optimally-pruned tree More...
SeparationBase *	fQualityIndex
	the event sample to select the optimally-pruned tree More...
Bool_t	fOwnQIndex
	the quality index used to calculate R(t), R(T) = sum[t in ~T]{ R(t) } More...
DecisionTree *	fTree
	flag indicates if fQualityIndex is owned by this More...
std::vector< TMVA::DecisionTreeNode * >	fPruneSequence
	(pruned) decision tree More...
std::vector< Float_t >	fPruneStrengthList
	map of weakest links (i.e., branches to prune) -> pruning index More...
std::vector< Float_t >	fQualityIndexList
	map of alpha -> pruning index More...
Int_t	fOptimalK
	map of R(T) -> pruning index More...
Bool_t	fDebug
	index of the optimal tree in the pruned tree sequence More...

#include <TMVA/CCPruner.h>

Collaboration diagram for TMVA::CCPruner:

Member Typedef Documentation

typedef std::vector<Event*> TMVA::CCPruner::EventList

Definition at line 67 of file CCPruner.h.

Constructor & Destructor Documentation

CCPruner::CCPruner	(	DecisionTree *	t_max,
		const EventList *	validationSample,
		SeparationBase *	qualityIndex = NULL
	)

constructor

Definition at line 39 of file CCPruner.cxx.

CCPruner::CCPruner	(	DecisionTree *	t_max,
		const DataSet *	validationSample,
		SeparationBase *	qualityIndex = NULL
	)

constructor

Definition at line 62 of file CCPruner.cxx.

CCPruner::~CCPruner

(

)

Definition at line 85 of file CCPruner.cxx.

Member Function Documentation

std::vector< DecisionTreeNode * > CCPruner::GetOptimalPruneSequence

(

)

const

return the prune strength (=alpha) corresponding to the prune sequence

Definition at line 210 of file CCPruner.cxx.

Referenced by TMVA::MethodDT::PruneTree().

Float_t TMVA::CCPruner::GetOptimalPruneStrength ( ) const

inline

Definition at line 92 of file CCPruner.h.

Referenced by TMVA::MethodDT::PruneTree().

Float_t TMVA::CCPruner::GetOptimalQualityIndex ( ) const

inline

Definition at line 88 of file CCPruner.h.

void CCPruner::Optimize

(

)

determine the pruning sequence

Definition at line 94 of file CCPruner.cxx.

Referenced by TMVA::MethodDT::PruneTree().

void TMVA::CCPruner::SetPruneStrength ( Float_t  alpha = -1.0 )

inline

Definition at line 113 of file CCPruner.h.

Referenced by TMVA::MethodDT::PruneTree().

Member Data Documentation

Float_t TMVA::CCPruner::fAlpha

private

Definition at line 96 of file CCPruner.h.

Referenced by Optimize(), and SetPruneStrength().

Bool_t TMVA::CCPruner::fDebug

private

index of the optimal tree in the pruned tree sequence

Definition at line 109 of file CCPruner.h.

Referenced by CCPruner(), and Optimize().

Int_t TMVA::CCPruner::fOptimalK

private

map of R(T) -> pruning index

Definition at line 108 of file CCPruner.h.

Referenced by GetOptimalPruneSequence(), GetOptimalPruneStrength(), GetOptimalQualityIndex(), and Optimize().

Bool_t TMVA::CCPruner::fOwnQIndex

private

the quality index used to calculate R(t), R(T) = sum[t in ~T]{ R(t) }

Definition at line 100 of file CCPruner.h.

Referenced by CCPruner(), and ~CCPruner().

std::vector<TMVA::DecisionTreeNode*> TMVA::CCPruner::fPruneSequence

private

(pruned) decision tree

Definition at line 104 of file CCPruner.h.

Referenced by GetOptimalPruneSequence(), and Optimize().

std::vector<Float_t> TMVA::CCPruner::fPruneStrengthList

private

map of weakest links (i.e., branches to prune) -> pruning index

Definition at line 105 of file CCPruner.h.

Referenced by GetOptimalPruneStrength(), and Optimize().

SeparationBase* TMVA::CCPruner::fQualityIndex

private

the event sample to select the optimally-pruned tree

Definition at line 99 of file CCPruner.h.

Referenced by CCPruner(), Optimize(), and ~CCPruner().

std::vector<Float_t> TMVA::CCPruner::fQualityIndexList

private

map of alpha -> pruning index

Definition at line 106 of file CCPruner.h.

Referenced by GetOptimalQualityIndex(), and Optimize().

DecisionTree* TMVA::CCPruner::fTree

private

flag indicates if fQualityIndex is owned by this

Definition at line 102 of file CCPruner.h.

Referenced by CCPruner(), and Optimize().

const DataSet* TMVA::CCPruner::fValidationDataSet

private

the event sample to select the optimally-pruned tree

Definition at line 98 of file CCPruner.h.

Referenced by Optimize().

const EventList* TMVA::CCPruner::fValidationSample

private

regularization parameter in CC pruning

Definition at line 97 of file CCPruner.h.

Referenced by Optimize().

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

• tmva/tmva/inc/TMVA/CCPruner.h
• tmva/tmva/src/CCPruner.cxx