TMVA::CCPruner Class Reference

#include <CCPruner.h>

List of all members.

Public Types
typedef std::vector< Event * >	EventList
typedef std::vector< Event * >	EventList
Public Member Functions
	CCPruner (DecisionTree *t_max, const EventList *validationSample, SeparationBase *qualityIndex=NULL)
	CCPruner (DecisionTree *t_max, const DataSet *validationSample, SeparationBase *qualityIndex=NULL)
	~CCPruner ()
void	SetPruneStrength (Float_t alpha=-1.0)
void	Optimize ()
std::vector< TMVA::DecisionTreeNode * >	GetOptimalPruneSequence () const
Float_t	GetOptimalQualityIndex () const
Float_t	GetOptimalPruneStrength () const
	CCPruner (DecisionTree *t_max, const EventList *validationSample, SeparationBase *qualityIndex=NULL)
	CCPruner (DecisionTree *t_max, const DataSet *validationSample, SeparationBase *qualityIndex=NULL)
	~CCPruner ()
void	SetPruneStrength (Float_t alpha=-1.0)
void	Optimize ()
std::vector< TMVA::DecisionTreeNode * >	GetOptimalPruneSequence () const
Float_t	GetOptimalQualityIndex () const
Float_t	GetOptimalPruneStrength () const
Private Attributes
Float_t	fAlpha
const EventList *	fValidationSample
	regularization parameter in CC pruning
const DataSet *	fValidationDataSet
	the event sample to select the optimally-pruned tree
SeparationBase *	fQualityIndex
	the event sample to select the optimally-pruned tree
Bool_t	fOwnQIndex
	the quality index used to calculate R(t), R(T) = sum[t in ~T]{ R(t) }
DecisionTree *	fTree
	flag indicates if fQualityIndex is owned by this
std::vector< TMVA::DecisionTreeNode * >	fPruneSequence
	(pruned) decision tree
std::vector< Float_t >	fPruneStrengthList
	map of weakest links (i.e., branches to prune) -> pruning index
std::vector< Float_t >	fQualityIndexList
	map of alpha -> pruning index
Int_t	fOptimalK
	map of R(T) -> pruning index
Bool_t	fDebug
	index of the optimal tree in the pruned tree sequence
const EventList *	fValidationSample
	regularization parameter in CC pruning
const DataSet *	fValidationDataSet
	the event sample to select the optimally-pruned tree
SeparationBase *	fQualityIndex
	the event sample to select the optimally-pruned tree
DecisionTree *	fTree
	flag indicates if fQualityIndex is owned by this
std::vector< TMVA::DecisionTreeNode * >	fPruneSequence
	(pruned) decision tree
std::vector< Float_t >	fPruneStrengthList
	map of weakest links (i.e., branches to prune) -> pruning index
std::vector< Float_t >	fQualityIndexList
	map of alpha -> pruning index

---

Detailed Description

Definition at line 64 of file CCPruner.h.

---

Member Typedef Documentation

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

Definition at line 66 of file CCPruner.h.

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

Definition at line 66 of file CCPruner.h.

---

Constructor & Destructor Documentation

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

Definition at line 36 of file CCPruner.cxx.

References fDebug, fOwnQIndex, fQualityIndex, fTree, kTRUE, and NULL.

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

Definition at line 58 of file CCPruner.cxx.

References fDebug, fOwnQIndex, fQualityIndex, fTree, kTRUE, and NULL.

CCPruner::~CCPruner

(

)

Definition at line 81 of file CCPruner.cxx.

References fOwnQIndex, and fQualityIndex.

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

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

TMVA::CCPruner::~CCPruner

(

)

---

Member Function Documentation

void TMVA::CCPruner::SetPruneStrength

(

Float_t

alpha = -1.0

)

[inline]

Definition at line 112 of file CCPruner.h.

References fAlpha.

void CCPruner::Optimize

(

)

Definition at line 88 of file CCPruner.cxx.

References RootCsg::epsilon, ROOT::Math::fabs(), fAlpha, fDebug, fOptimalK, fPruneSequence, fPruneStrengthList, fQualityIndex, fQualityIndexList, fTree, fValidationDataSet, fValidationSample, TMVA::CCTreeWrapper::GetRoot(), i, k, min, n, NULL, outfile, TMVA::CCTreeWrapper::PruneNode(), R, t, and TMVA::CCTreeWrapper::TestTreeQuality().

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

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

(

)

const

Definition at line 204 of file CCPruner.cxx.

References fOptimalK, fPruneSequence, and i.

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

Float_t TMVA::CCPruner::GetOptimalQualityIndex

(

)

const [inline]

Definition at line 87 of file CCPruner.h.

References fOptimalK, and fQualityIndexList.

Float_t TMVA::CCPruner::GetOptimalPruneStrength

(

)

const [inline]

Definition at line 91 of file CCPruner.h.

References fOptimalK, and fPruneStrengthList.

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

void TMVA::CCPruner::SetPruneStrength

(

Float_t

alpha = -1.0

)

void TMVA::CCPruner::Optimize

(

)

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

(

)

const

Float_t TMVA::CCPruner::GetOptimalQualityIndex

(

)

const [inline]

Definition at line 87 of file CCPruner.h.

References fOptimalK, and fQualityIndexList.

Float_t TMVA::CCPruner::GetOptimalPruneStrength

(

)

const [inline]

Definition at line 91 of file CCPruner.h.

References fOptimalK, and fPruneStrengthList.

---

Member Data Documentation

Float_t TMVA::CCPruner::fAlpha [private]

Definition at line 95 of file CCPruner.h.

Referenced by Optimize(), and SetPruneStrength().

const EventList* TMVA::CCPruner::fValidationSample [private]

regularization parameter in CC pruning

Definition at line 96 of file CCPruner.h.

Referenced by Optimize().

const DataSet* TMVA::CCPruner::fValidationDataSet [private]

the event sample to select the optimally-pruned tree

Definition at line 97 of file CCPruner.h.

Referenced by Optimize().

SeparationBase* TMVA::CCPruner::fQualityIndex [private]

the event sample to select the optimally-pruned tree

Definition at line 98 of file CCPruner.h.

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

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 99 of file CCPruner.h.

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

DecisionTree* TMVA::CCPruner::fTree [private]

flag indicates if fQualityIndex is owned by this

Definition at line 101 of file CCPruner.h.

Referenced by CCPruner(), and Optimize().

std::vector<TMVA::DecisionTreeNode*> TMVA::CCPruner::fPruneSequence [private]

(pruned) decision tree

Definition at line 103 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 104 of file CCPruner.h.

Referenced by GetOptimalPruneStrength(), and Optimize().

std::vector<Float_t> TMVA::CCPruner::fQualityIndexList [private]

map of alpha -> pruning index

Definition at line 105 of file CCPruner.h.

Referenced by GetOptimalQualityIndex(), and Optimize().

Int_t TMVA::CCPruner::fOptimalK [private]

map of R(T) -> pruning index

Definition at line 107 of file CCPruner.h.

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

Bool_t TMVA::CCPruner::fDebug [private]

index of the optimal tree in the pruned tree sequence

Definition at line 108 of file CCPruner.h.

Referenced by CCPruner(), and Optimize().

const EventList* TMVA::CCPruner::fValidationSample [private]

regularization parameter in CC pruning

Definition at line 96 of file CCPruner.h.

const DataSet* TMVA::CCPruner::fValidationDataSet [private]

the event sample to select the optimally-pruned tree

Definition at line 97 of file CCPruner.h.

SeparationBase* TMVA::CCPruner::fQualityIndex [private]

the event sample to select the optimally-pruned tree

Definition at line 98 of file CCPruner.h.

DecisionTree* TMVA::CCPruner::fTree [private]

flag indicates if fQualityIndex is owned by this

Definition at line 101 of file CCPruner.h.

std::vector<TMVA::DecisionTreeNode*> TMVA::CCPruner::fPruneSequence [private]

(pruned) decision tree

Definition at line 103 of file CCPruner.h.

std::vector<Float_t> TMVA::CCPruner::fPruneStrengthList [private]

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

Definition at line 104 of file CCPruner.h.

std::vector<Float_t> TMVA::CCPruner::fQualityIndexList [private]

map of alpha -> pruning index

Definition at line 105 of file CCPruner.h.

---

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

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

---