Definition at line 116 of file DecisionTreeNode.h.

Public Member Functions
	DecisionTreeNode ()
	constructor of an essentially "empty" node floating in space More...

	DecisionTreeNode (const DecisionTreeNode &n, DecisionTreeNode *parent=NULL)
	copy constructor of a node. More...

	DecisionTreeNode (Node *p, char pos)
	constructor of a daughter node as a daughter of 'p' More...

virtual	~DecisionTreeNode ()
	destructor More...

virtual void	AddAttributesToNode (void *node) const
	add attribute to xml More...

virtual void	AddContentToNode (std::stringstream &s) const
	adding attributes to tree node (well, was used in BinarySearchTree, and somehow I guess someone programmed it such that we need this in this tree too, although we don't..) More...

void	AddToSumTarget (Float_t t)

void	AddToSumTarget2 (Float_t t2)

void	ClearNodeAndAllDaughters ()
	clear the nodes (their S/N, Nevents etc), just keep the structure of the tree More...

virtual Node *	CreateNode () const

Double_t	GetAlpha () const

Double_t	GetAlphaMinSubtree () const

Double_t	GetCC () const

Bool_t	GetCutType (void) const

Float_t	GetCutValue (void) const

Double_t	GetFisherCoeff (Int_t ivar) const

virtual DecisionTreeNode *	GetLeft () const

Float_t	GetNBkgEvents (void) const

Float_t	GetNBkgEvents_unboosted (void) const

Float_t	GetNBkgEvents_unweighted (void) const

Double_t	GetNBValidation () const

Float_t	GetNEvents (void) const

Float_t	GetNEvents_unboosted (void) const

Float_t	GetNEvents_unweighted (void) const

UInt_t	GetNFisherCoeff () const

Double_t	GetNodeR () const

Int_t	GetNodeType (void) const

Float_t	GetNSigEvents (void) const

Float_t	GetNSigEvents_unboosted (void) const

Float_t	GetNSigEvents_unweighted (void) const

Double_t	GetNSValidation () const

Int_t	GetNTerminal () const

virtual DecisionTreeNode *	GetParent () const

Float_t	GetPurity (void) const

Float_t	GetResponse (void) const

virtual DecisionTreeNode *	GetRight () const

Float_t	GetRMS (void) const

Float_t	GetSampleMax (UInt_t ivar) const
	return the maximum of variable ivar from the training sample that pass/end up in this node More...

Float_t	GetSampleMin (UInt_t ivar) const
	return the minimum of variable ivar from the training sample that pass/end up in this node More...

Short_t	GetSelector () const

Float_t	GetSeparationGain (void) const

Float_t	GetSeparationIndex (void) const

Double_t	GetSubTreeR () const

Float_t	GetSumTarget () const

Float_t	GetSumTarget2 () const

virtual Bool_t	GoesLeft (const Event &) const
	test event if it descends the tree at this node to the left More...

virtual Bool_t	GoesRight (const Event &) const
	test event if it descends the tree at this node to the right More...

void	IncrementNBkgEvents (Float_t b)

void	IncrementNBkgEvents_unweighted ()

void	IncrementNEvents (Float_t nev)

void	IncrementNEvents_unweighted ()

void	IncrementNSigEvents (Float_t s)

void	IncrementNSigEvents_unweighted ()

Bool_t	IsTerminal () const

virtual void	Print (std::ostream &os) const
	print the node More...

void	PrintPrune (std::ostream &os) const
	printout of the node (can be read in with ReadDataRecord) More...

virtual void	PrintRec (std::ostream &os) const
	recursively print the node and its daughters (--> print the 'tree') More...

void	PrintRecPrune (std::ostream &os) const
	recursive printout of the node and its daughters More...

virtual void	ReadAttributes (void *node, UInt_t tmva_Version_Code=TMVA_VERSION_CODE)

virtual void	ReadContent (std::stringstream &s)
	reading attributes from tree node (well, was used in BinarySearchTree, and somehow I guess someone programmed it such that we need this in this tree too, although we don't..) More...

virtual Bool_t	ReadDataRecord (std::istream &is, UInt_t tmva_Version_Code=TMVA_VERSION_CODE)
	Read the data block. More...

void	ResetValidationData ()
	temporary stored node values (number of events, etc.) that originate not from the training but from the validation data (used in pruning) More...

void	SetAlpha (Double_t alpha)

void	SetAlphaMinSubtree (Double_t g)

void	SetCC (Double_t cc)

void	SetCutType (Bool_t t)

void	SetCutValue (Float_t c)

void	SetFisherCoeff (Int_t ivar, Double_t coeff)
	set fisher coefficients More...

virtual void	SetLeft (Node *l)

void	SetNBkgEvents (Float_t b)

void	SetNBkgEvents_unboosted (Float_t b)

void	SetNBkgEvents_unweighted (Float_t b)

void	SetNBValidation (Double_t b)

void	SetNEvents (Float_t nev)

void	SetNEvents_unboosted (Float_t nev)

void	SetNEvents_unweighted (Float_t nev)

void	SetNFisherCoeff (Int_t nvars)

void	SetNodeR (Double_t r)

void	SetNodeType (Int_t t)

void	SetNSigEvents (Float_t s)

void	SetNSigEvents_unboosted (Float_t s)

void	SetNSigEvents_unweighted (Float_t s)

void	SetNSValidation (Double_t s)

void	SetNTerminal (Int_t n)

virtual void	SetParent (Node *p)

void	SetPurity (void)
	return the S/(S+B) (purity) for the node REM: even if nodes with purity 0.01 are very PURE background nodes, they still get a small value of the purity. More...

void	SetResponse (Float_t r)

virtual void	SetRight (Node *r)

void	SetRMS (Float_t r)

void	SetSampleMax (UInt_t ivar, Float_t xmax)
	set the maximum of variable ivar from the training sample that pass/end up in this node More...

void	SetSampleMin (UInt_t ivar, Float_t xmin)
	set the minimum of variable ivar from the training sample that pass/end up in this node More...

void	SetSelector (Short_t i)

void	SetSeparationGain (Float_t sep)

void	SetSeparationIndex (Float_t sep)

void	SetSubTreeR (Double_t r)

void	SetSumTarget (Float_t t)

void	SetSumTarget2 (Float_t t2)

void	SetTerminal (Bool_t s=kTRUE)

Public Member Functions inherited from TMVA::Node
	Node ()

	Node (const Node &n)
	copy constructor, make sure you don't just copy the pointer to the node, but that the parents/daughters are initialized to 0 (and set by the copy constructors of the derived classes More...

	Node (Node *p, char pos)
	constructor of a daughter node as a daughter of 'p' More...

virtual	~Node ()
	node destructor More...

virtual void	AddAttributesToNode (void *node) const =0

virtual void	AddContentToNode (std::stringstream &s) const =0

void *	AddXMLTo (void *parent) const
	add attributes to XML More...

Int_t	CountMeAndAllDaughters () const
	recursively go through the part of the tree below this node and count all daughters More...

virtual Node *	CreateNode () const =0

int	GetCount ()
	returns the global number of instantiated nodes More...

UInt_t	GetDepth () const

virtual Node *	GetLeft () const

virtual Node *	GetParent () const

virtual TMVA::BinaryTree *	GetParentTree () const

char	GetPos () const

virtual Node *	GetRight () const

virtual Bool_t	GoesLeft (const Event &) const =0

virtual Bool_t	GoesRight (const Event &) const =0

virtual void	Print (std::ostream &os) const =0

virtual void	PrintRec (std::ostream &os) const =0

virtual void	ReadAttributes (void *node, UInt_t tmva_Version_Code=TMVA_VERSION_CODE)=0

virtual void	ReadContent (std::stringstream &s)=0

virtual Bool_t	ReadDataRecord (std::istream &, UInt_t tmva_Version_Code=TMVA_VERSION_CODE)=0

void	ReadXML (void *node, UInt_t tmva_Version_Code=TMVA_VERSION_CODE)
	read attributes from XML More...

void	SetDepth (UInt_t d)

virtual void	SetLeft (Node *l)

virtual void	SetParent (Node *p)

virtual void	SetParentTree (TMVA::BinaryTree *t)

void	SetPos (char s)

virtual void	SetRight (Node *r)

Static Public Attributes
static bool	fgIsTraining = false

static UInt_t	fgTmva_Version_Code = 0

Static Protected Member Functions
static MsgLogger &	Log ()

Protected Attributes
Bool_t	fCutType

Float_t	fCutValue

std::vector< Double_t >	fFisherCoeff

Bool_t	fIsTerminalNode

Int_t	fNodeType

Float_t	fPurity

Float_t	fResponse

Float_t	fRMS

Short_t	fSelector

DTNodeTrainingInfo *	fTrainInfo
	flag to set node as terminal (i.e., without deleting its descendants) More...

Protected Attributes inherited from TMVA::Node
UInt_t	fDepth

Node *	fLeft

Node *	fParent

BinaryTree *	fParentTree

char	fPos

Node *	fRight

#include <TMVA/DecisionTreeNode.h>

Inheritance diagram for TMVA::DecisionTreeNode:

[legend]

Constructor & Destructor Documentation

◆ DecisionTreeNode() [1/3]

TMVA::DecisionTreeNode::DecisionTreeNode ( )

constructor of an essentially "empty" node floating in space

Definition at line 67 of file DecisionTreeNode.cxx.

◆ DecisionTreeNode() [2/3]

TMVA::DecisionTreeNode::DecisionTreeNode	(	TMVA::Node *	p,
		char	pos
	)

constructor of a daughter node as a daughter of 'p'

Definition at line 91 of file DecisionTreeNode.cxx.

◆ DecisionTreeNode() [3/3]

TMVA::DecisionTreeNode::DecisionTreeNode	(	const DecisionTreeNode &	n,
		DecisionTreeNode *	parent = `NULL`
	)

copy constructor of a node.

It will result in an explicit copy of the node and recursively all it's daughters

Definition at line 116 of file DecisionTreeNode.cxx.

◆ ~DecisionTreeNode()

TMVA::DecisionTreeNode::~DecisionTreeNode ( )

virtual

destructor

Definition at line 148 of file DecisionTreeNode.cxx.

Member Function Documentation

◆ AddAttributesToNode()

void TMVA::DecisionTreeNode::AddAttributesToNode ( void * node ) const

virtual

add attribute to xml

Implements TMVA::Node.

Definition at line 492 of file DecisionTreeNode.cxx.

◆ AddContentToNode()

void TMVA::DecisionTreeNode::AddContentToNode ( std::stringstream & s ) const

virtual

adding attributes to tree node (well, was used in BinarySearchTree, and somehow I guess someone programmed it such that we need this in this tree too, although we don't..)

Implements TMVA::Node.

Definition at line 526 of file DecisionTreeNode.cxx.

◆ AddToSumTarget()

void TMVA::DecisionTreeNode::AddToSumTarget ( Float_t t )

inline

Definition at line 325 of file DecisionTreeNode.h.

◆ AddToSumTarget2()

void TMVA::DecisionTreeNode::AddToSumTarget2 ( Float_t t2 )

inline

Definition at line 326 of file DecisionTreeNode.h.

◆ ClearNodeAndAllDaughters()

void TMVA::DecisionTreeNode::ClearNodeAndAllDaughters ( )

clear the nodes (their S/N, Nevents etc), just keep the structure of the tree

Definition at line 346 of file DecisionTreeNode.cxx.

◆ CreateNode()

virtual Node * TMVA::DecisionTreeNode::CreateNode ( ) const

inlinevirtual

Implements TMVA::Node.

Definition at line 131 of file DecisionTreeNode.h.

◆ GetAlpha()

Double_t TMVA::DecisionTreeNode::GetAlpha ( ) const

inline

Definition at line 305 of file DecisionTreeNode.h.

◆ GetAlphaMinSubtree()

Double_t TMVA::DecisionTreeNode::GetAlphaMinSubtree ( ) const

inline

Definition at line 309 of file DecisionTreeNode.h.

◆ GetCC()

Double_t TMVA::DecisionTreeNode::GetCC ( ) const

inline

Definition at line 342 of file DecisionTreeNode.h.

◆ GetCutType()

Bool_t TMVA::DecisionTreeNode::GetCutType ( void ) const

inline

Definition at line 159 of file DecisionTreeNode.h.

◆ GetCutValue()

Float_t TMVA::DecisionTreeNode::GetCutValue ( void ) const

inline

Definition at line 154 of file DecisionTreeNode.h.

◆ GetFisherCoeff()

Double_t TMVA::DecisionTreeNode::GetFisherCoeff ( Int_t ivar ) const

inline

Definition at line 138 of file DecisionTreeNode.h.

◆ GetLeft()

virtual DecisionTreeNode * TMVA::DecisionTreeNode::GetLeft ( ) const

inlinevirtual

Reimplemented from TMVA::Node.

Definition at line 281 of file DecisionTreeNode.h.

◆ GetNBkgEvents()

Float_t TMVA::DecisionTreeNode::GetNBkgEvents ( void ) const

inline

Definition at line 232 of file DecisionTreeNode.h.

◆ GetNBkgEvents_unboosted()

Float_t TMVA::DecisionTreeNode::GetNBkgEvents_unboosted ( void ) const

inline

Definition at line 250 of file DecisionTreeNode.h.

◆ GetNBkgEvents_unweighted()

Float_t TMVA::DecisionTreeNode::GetNBkgEvents_unweighted ( void ) const

inline

Definition at line 241 of file DecisionTreeNode.h.

◆ GetNBValidation()

Double_t TMVA::DecisionTreeNode::GetNBValidation ( ) const

inline

Definition at line 318 of file DecisionTreeNode.h.

◆ GetNEvents()

Float_t TMVA::DecisionTreeNode::GetNEvents ( void ) const

inline

Definition at line 235 of file DecisionTreeNode.h.

◆ GetNEvents_unboosted()

Float_t TMVA::DecisionTreeNode::GetNEvents_unboosted ( void ) const

inline

Definition at line 253 of file DecisionTreeNode.h.

◆ GetNEvents_unweighted()

Float_t TMVA::DecisionTreeNode::GetNEvents_unweighted ( void ) const

inline

Definition at line 244 of file DecisionTreeNode.h.

◆ GetNFisherCoeff()

UInt_t TMVA::DecisionTreeNode::GetNFisherCoeff ( ) const

inline

Definition at line 134 of file DecisionTreeNode.h.

◆ GetNodeR()

Double_t TMVA::DecisionTreeNode::GetNodeR ( ) const

inline

Definition at line 295 of file DecisionTreeNode.h.

◆ GetNodeType()

Int_t TMVA::DecisionTreeNode::GetNodeType ( void ) const

inline

Definition at line 164 of file DecisionTreeNode.h.

◆ GetNSigEvents()

Float_t TMVA::DecisionTreeNode::GetNSigEvents ( void ) const

inline

Definition at line 229 of file DecisionTreeNode.h.

◆ GetNSigEvents_unboosted()

Float_t TMVA::DecisionTreeNode::GetNSigEvents_unboosted ( void ) const

inline

Definition at line 247 of file DecisionTreeNode.h.

◆ GetNSigEvents_unweighted()

Float_t TMVA::DecisionTreeNode::GetNSigEvents_unweighted ( void ) const

inline

Definition at line 238 of file DecisionTreeNode.h.

◆ GetNSValidation()

Double_t TMVA::DecisionTreeNode::GetNSValidation ( ) const

inline

Definition at line 319 of file DecisionTreeNode.h.

◆ GetNTerminal()

Int_t TMVA::DecisionTreeNode::GetNTerminal ( ) const

inline

Definition at line 313 of file DecisionTreeNode.h.

◆ GetParent()

virtual DecisionTreeNode * TMVA::DecisionTreeNode::GetParent ( ) const

inlinevirtual

Reimplemented from TMVA::Node.

Definition at line 283 of file DecisionTreeNode.h.

◆ GetPurity()

Float_t TMVA::DecisionTreeNode::GetPurity ( void ) const

inline

Definition at line 167 of file DecisionTreeNode.h.

◆ GetResponse()

Float_t TMVA::DecisionTreeNode::GetResponse ( void ) const

inline

Definition at line 175 of file DecisionTreeNode.h.

◆ GetRight()

virtual DecisionTreeNode * TMVA::DecisionTreeNode::GetRight ( ) const

inlinevirtual

Reimplemented from TMVA::Node.

Definition at line 282 of file DecisionTreeNode.h.

◆ GetRMS()

Float_t TMVA::DecisionTreeNode::GetRMS ( void ) const

inline

Definition at line 181 of file DecisionTreeNode.h.

◆ GetSampleMax()

Float_t TMVA::DecisionTreeNode::GetSampleMax ( UInt_t ivar ) const

return the maximum of variable ivar from the training sample that pass/end up in this node

Definition at line 424 of file DecisionTreeNode.cxx.

◆ GetSampleMin()

Float_t TMVA::DecisionTreeNode::GetSampleMin ( UInt_t ivar ) const

return the minimum of variable ivar from the training sample that pass/end up in this node

Definition at line 413 of file DecisionTreeNode.cxx.

◆ GetSelector()

Short_t TMVA::DecisionTreeNode::GetSelector ( ) const

inline

Definition at line 149 of file DecisionTreeNode.h.

◆ GetSeparationGain()

Float_t TMVA::DecisionTreeNode::GetSeparationGain ( void ) const

inline

Definition at line 264 of file DecisionTreeNode.h.

◆ GetSeparationIndex()

Float_t TMVA::DecisionTreeNode::GetSeparationIndex ( void ) const

inline

Definition at line 259 of file DecisionTreeNode.h.

◆ GetSubTreeR()

Double_t TMVA::DecisionTreeNode::GetSubTreeR ( ) const

inline

Definition at line 299 of file DecisionTreeNode.h.

◆ GetSumTarget()

Float_t TMVA::DecisionTreeNode::GetSumTarget ( ) const

inline

Definition at line 328 of file DecisionTreeNode.h.

◆ GetSumTarget2()

Float_t TMVA::DecisionTreeNode::GetSumTarget2 ( ) const

inline

Definition at line 329 of file DecisionTreeNode.h.

◆ GoesLeft()

Bool_t TMVA::DecisionTreeNode::GoesLeft ( const Event & e ) const

virtual

test event if it descends the tree at this node to the left

Implements TMVA::Node.

Definition at line 179 of file DecisionTreeNode.cxx.

◆ GoesRight()

Bool_t TMVA::DecisionTreeNode::GoesRight ( const Event & e ) const

virtual

test event if it descends the tree at this node to the right

Implements TMVA::Node.

Definition at line 155 of file DecisionTreeNode.cxx.

◆ IncrementNBkgEvents()

void TMVA::DecisionTreeNode::IncrementNBkgEvents ( Float_t b )

inline

Definition at line 214 of file DecisionTreeNode.h.

◆ IncrementNBkgEvents_unweighted()

void TMVA::DecisionTreeNode::IncrementNBkgEvents_unweighted ( )

inline

Definition at line 223 of file DecisionTreeNode.h.

◆ IncrementNEvents()

void TMVA::DecisionTreeNode::IncrementNEvents ( Float_t nev )

inline

Definition at line 217 of file DecisionTreeNode.h.

◆ IncrementNEvents_unweighted()

void TMVA::DecisionTreeNode::IncrementNEvents_unweighted ( )

inline

Definition at line 226 of file DecisionTreeNode.h.

◆ IncrementNSigEvents()

void TMVA::DecisionTreeNode::IncrementNSigEvents ( Float_t s )

inline

Definition at line 211 of file DecisionTreeNode.h.

◆ IncrementNSigEvents_unweighted()

void TMVA::DecisionTreeNode::IncrementNSigEvents_unweighted ( )

inline

Definition at line 220 of file DecisionTreeNode.h.

◆ IsTerminal()

Bool_t TMVA::DecisionTreeNode::IsTerminal ( ) const

inline

Definition at line 336 of file DecisionTreeNode.h.

◆ Log()

TMVA::MsgLogger & TMVA::DecisionTreeNode::Log ( )

staticprotected

Definition at line 540 of file DecisionTreeNode.cxx.

◆ Print()

void TMVA::DecisionTreeNode::Print ( std::ostream & os ) const

virtual

print the node

Implements TMVA::Node.

Definition at line 209 of file DecisionTreeNode.cxx.

◆ PrintPrune()

void TMVA::DecisionTreeNode::PrintPrune ( std::ostream & os ) const

printout of the node (can be read in with ReadDataRecord)

Definition at line 381 of file DecisionTreeNode.cxx.

◆ PrintRec()

void TMVA::DecisionTreeNode::PrintRec ( std::ostream & os ) const

virtual

recursively print the node and its daughters (--> print the 'tree')

Implements TMVA::Node.

Definition at line 241 of file DecisionTreeNode.cxx.

◆ PrintRecPrune()

void TMVA::DecisionTreeNode::PrintRecPrune ( std::ostream & os ) const

recursive printout of the node and its daughters

Definition at line 393 of file DecisionTreeNode.cxx.

◆ ReadAttributes()

void TMVA::DecisionTreeNode::ReadAttributes	(	void *	node,
		UInt_t	tmva_Version_Code = `TMVA_VERSION_CODE`
	)

virtual

Implements TMVA::Node.

Definition at line 455 of file DecisionTreeNode.cxx.

◆ ReadContent()

void TMVA::DecisionTreeNode::ReadContent ( std::stringstream & s )

virtual

reading attributes from tree node (well, was used in BinarySearchTree, and somehow I guess someone programmed it such that we need this in this tree too, although we don't..)

Implements TMVA::Node.

Definition at line 535 of file DecisionTreeNode.cxx.

◆ ReadDataRecord()

Bool_t TMVA::DecisionTreeNode::ReadDataRecord	(	std::istream &	is,
		UInt_t	tmva_Version_Code = `TMVA_VERSION_CODE`
	)

virtual

Read the data block.

Implements TMVA::Node.

Definition at line 272 of file DecisionTreeNode.cxx.

◆ ResetValidationData()

void TMVA::DecisionTreeNode::ResetValidationData ( )

temporary stored node values (number of events, etc.) that originate not from the training but from the validation data (used in pruning)

Definition at line 366 of file DecisionTreeNode.cxx.

◆ SetAlpha()

void TMVA::DecisionTreeNode::SetAlpha ( Double_t alpha )

inline

Definition at line 304 of file DecisionTreeNode.h.

◆ SetAlphaMinSubtree()

void TMVA::DecisionTreeNode::SetAlphaMinSubtree ( Double_t g )

inline

Definition at line 308 of file DecisionTreeNode.h.

◆ SetCC()

void TMVA::DecisionTreeNode::SetCC ( Double_t cc )

Definition at line 403 of file DecisionTreeNode.cxx.

◆ SetCutType()

void TMVA::DecisionTreeNode::SetCutType ( Bool_t t )

inline

Definition at line 157 of file DecisionTreeNode.h.

◆ SetCutValue()

void TMVA::DecisionTreeNode::SetCutValue ( Float_t c )

inline

Definition at line 152 of file DecisionTreeNode.h.

◆ SetFisherCoeff()

void TMVA::DecisionTreeNode::SetFisherCoeff	(	Int_t	ivar,
		Double_t	coeff
	)

set fisher coefficients

Definition at line 515 of file DecisionTreeNode.cxx.

◆ SetLeft()

virtual void TMVA::DecisionTreeNode::SetLeft ( Node * l )

inlinevirtual

Reimplemented from TMVA::Node.

Definition at line 286 of file DecisionTreeNode.h.

◆ SetNBkgEvents()

void TMVA::DecisionTreeNode::SetNBkgEvents ( Float_t b )

inline

Definition at line 187 of file DecisionTreeNode.h.

◆ SetNBkgEvents_unboosted()

void TMVA::DecisionTreeNode::SetNBkgEvents_unboosted ( Float_t b )

inline

Definition at line 205 of file DecisionTreeNode.h.

◆ SetNBkgEvents_unweighted()

void TMVA::DecisionTreeNode::SetNBkgEvents_unweighted ( Float_t b )

inline

Definition at line 196 of file DecisionTreeNode.h.

◆ SetNBValidation()

void TMVA::DecisionTreeNode::SetNBValidation ( Double_t b )

inline

Definition at line 316 of file DecisionTreeNode.h.

◆ SetNEvents()

void TMVA::DecisionTreeNode::SetNEvents ( Float_t nev )

inline

Definition at line 190 of file DecisionTreeNode.h.

◆ SetNEvents_unboosted()

void TMVA::DecisionTreeNode::SetNEvents_unboosted ( Float_t nev )

inline

Definition at line 208 of file DecisionTreeNode.h.

◆ SetNEvents_unweighted()

void TMVA::DecisionTreeNode::SetNEvents_unweighted ( Float_t nev )

inline

Definition at line 199 of file DecisionTreeNode.h.

◆ SetNFisherCoeff()

void TMVA::DecisionTreeNode::SetNFisherCoeff ( Int_t nvars )

inline

Definition at line 133 of file DecisionTreeNode.h.

◆ SetNodeR()

void TMVA::DecisionTreeNode::SetNodeR ( Double_t r )

inline

Definition at line 294 of file DecisionTreeNode.h.

◆ SetNodeType()

void TMVA::DecisionTreeNode::SetNodeType ( Int_t t )

inline

Definition at line 162 of file DecisionTreeNode.h.

◆ SetNSigEvents()

void TMVA::DecisionTreeNode::SetNSigEvents ( Float_t s )

inline

Definition at line 184 of file DecisionTreeNode.h.

◆ SetNSigEvents_unboosted()

void TMVA::DecisionTreeNode::SetNSigEvents_unboosted ( Float_t s )

inline

Definition at line 202 of file DecisionTreeNode.h.

◆ SetNSigEvents_unweighted()

void TMVA::DecisionTreeNode::SetNSigEvents_unweighted ( Float_t s )

inline

Definition at line 193 of file DecisionTreeNode.h.

◆ SetNSValidation()

void TMVA::DecisionTreeNode::SetNSValidation ( Double_t s )

inline

Definition at line 317 of file DecisionTreeNode.h.

◆ SetNTerminal()

void TMVA::DecisionTreeNode::SetNTerminal ( Int_t n )

inline

Definition at line 312 of file DecisionTreeNode.h.

◆ SetParent()

virtual void TMVA::DecisionTreeNode::SetParent ( Node * p )

inlinevirtual

Reimplemented from TMVA::Node.

Definition at line 288 of file DecisionTreeNode.h.

◆ SetPurity()

void TMVA::DecisionTreeNode::SetPurity ( void )

return the S/(S+B) (purity) for the node REM: even if nodes with purity 0.01 are very PURE background nodes, they still get a small value of the purity.

Definition at line 191 of file DecisionTreeNode.cxx.

◆ SetResponse()

void TMVA::DecisionTreeNode::SetResponse ( Float_t r )

inline

Definition at line 172 of file DecisionTreeNode.h.

◆ SetRight()

virtual void TMVA::DecisionTreeNode::SetRight ( Node * r )

inlinevirtual

Reimplemented from TMVA::Node.

Definition at line 287 of file DecisionTreeNode.h.

◆ SetRMS()

void TMVA::DecisionTreeNode::SetRMS ( Float_t r )

inline

Definition at line 178 of file DecisionTreeNode.h.

◆ SetSampleMax()

void TMVA::DecisionTreeNode::SetSampleMax	(	UInt_t	ivar,
		Float_t	xmax
	)

set the maximum of variable ivar from the training sample that pass/end up in this node

Definition at line 446 of file DecisionTreeNode.cxx.

◆ SetSampleMin()

void TMVA::DecisionTreeNode::SetSampleMin	(	UInt_t	ivar,
		Float_t	xmin
	)

set the minimum of variable ivar from the training sample that pass/end up in this node

Definition at line 435 of file DecisionTreeNode.cxx.

◆ SetSelector()

void TMVA::DecisionTreeNode::SetSelector ( Short_t i )

inline

Definition at line 147 of file DecisionTreeNode.h.

◆ SetSeparationGain()

void TMVA::DecisionTreeNode::SetSeparationGain ( Float_t sep )

inline

Definition at line 262 of file DecisionTreeNode.h.

◆ SetSeparationIndex()

void TMVA::DecisionTreeNode::SetSeparationIndex ( Float_t sep )

inline

Definition at line 257 of file DecisionTreeNode.h.

◆ SetSubTreeR()

void TMVA::DecisionTreeNode::SetSubTreeR ( Double_t r )

inline

Definition at line 298 of file DecisionTreeNode.h.

◆ SetSumTarget()

void TMVA::DecisionTreeNode::SetSumTarget ( Float_t t )

inline

Definition at line 322 of file DecisionTreeNode.h.

◆ SetSumTarget2()

void TMVA::DecisionTreeNode::SetSumTarget2 ( Float_t t2 )

inline

Definition at line 323 of file DecisionTreeNode.h.

◆ SetTerminal()

void TMVA::DecisionTreeNode::SetTerminal ( Bool_t s = kTRUE )

inline

Definition at line 337 of file DecisionTreeNode.h.

Member Data Documentation

◆ fCutType

Bool_t TMVA::DecisionTreeNode::fCutType

protected

Definition at line 363 of file DecisionTreeNode.h.

◆ fCutValue

Float_t TMVA::DecisionTreeNode::fCutValue

protected

Definition at line 362 of file DecisionTreeNode.h.

◆ fFisherCoeff

std::vector<Double_t> TMVA::DecisionTreeNode::fFisherCoeff

protected

Definition at line 360 of file DecisionTreeNode.h.

◆ fgIsTraining

bool TMVA::DecisionTreeNode::fgIsTraining = false

static

Definition at line 349 of file DecisionTreeNode.h.

◆ fgTmva_Version_Code

UInt_t TMVA::DecisionTreeNode::fgTmva_Version_Code = 0

static

Definition at line 350 of file DecisionTreeNode.h.

◆ fIsTerminalNode

Bool_t TMVA::DecisionTreeNode::fIsTerminalNode

protected

Definition at line 371 of file DecisionTreeNode.h.

◆ fNodeType

Int_t TMVA::DecisionTreeNode::fNodeType

protected

Definition at line 368 of file DecisionTreeNode.h.

◆ fPurity

Float_t TMVA::DecisionTreeNode::fPurity

protected

Definition at line 369 of file DecisionTreeNode.h.

◆ fResponse

Float_t TMVA::DecisionTreeNode::fResponse

protected

Definition at line 366 of file DecisionTreeNode.h.

◆ fRMS

Float_t TMVA::DecisionTreeNode::fRMS

protected

Definition at line 367 of file DecisionTreeNode.h.

◆ fSelector

Short_t TMVA::DecisionTreeNode::fSelector

protected

Definition at line 364 of file DecisionTreeNode.h.

◆ fTrainInfo

DTNodeTrainingInfo* TMVA::DecisionTreeNode::fTrainInfo

mutableprotected

flag to set node as terminal (i.e., without deleting its descendants)

Definition at line 373 of file DecisionTreeNode.h.

Libraries for TMVA::DecisionTreeNode:

[legend]

Public Member Functions

Static Public Attributes

Static Protected Member Functions

Protected Attributes

Constructor & Destructor Documentation

◆ DecisionTreeNode() [1/3]

◆ DecisionTreeNode() [2/3]

◆ DecisionTreeNode() [3/3]

◆ ~DecisionTreeNode()

Member Function Documentation

◆ AddAttributesToNode()

◆ AddContentToNode()

◆ AddToSumTarget()

◆ AddToSumTarget2()

◆ ClearNodeAndAllDaughters()

◆ CreateNode()

◆ GetAlpha()

◆ GetAlphaMinSubtree()

◆ GetCC()

◆ GetCutType()

◆ GetCutValue()

◆ GetFisherCoeff()

◆ GetLeft()

◆ GetNBkgEvents()

◆ GetNBkgEvents_unboosted()

◆ GetNBkgEvents_unweighted()

◆ GetNBValidation()

◆ GetNEvents()

◆ GetNEvents_unboosted()

◆ GetNEvents_unweighted()

◆ GetNFisherCoeff()

◆ GetNodeR()

◆ GetNodeType()

◆ GetNSigEvents()

◆ GetNSigEvents_unboosted()

◆ GetNSigEvents_unweighted()

◆ GetNSValidation()

◆ GetNTerminal()

◆ GetParent()

◆ GetPurity()

◆ GetResponse()

◆ GetRight()

◆ GetRMS()

◆ GetSampleMax()

◆ GetSampleMin()

◆ GetSelector()

◆ GetSeparationGain()

◆ GetSeparationIndex()

◆ GetSubTreeR()

◆ GetSumTarget()

◆ GetSumTarget2()

◆ GoesLeft()

◆ GoesRight()

◆ IncrementNBkgEvents()

◆ IncrementNBkgEvents_unweighted()

◆ IncrementNEvents()

◆ IncrementNEvents_unweighted()

◆ IncrementNSigEvents()

◆ IncrementNSigEvents_unweighted()

◆ IsTerminal()

◆ Log()

◆ Print()

◆ PrintPrune()

◆ PrintRec()

◆ PrintRecPrune()

◆ ReadAttributes()

◆ ReadContent()

◆ ReadDataRecord()

◆ ResetValidationData()

◆ SetAlpha()

◆ SetAlphaMinSubtree()

◆ SetCC()

◆ SetCutType()

◆ SetCutValue()

◆ SetFisherCoeff()

◆ SetLeft()

◆ SetNBkgEvents()

◆ SetNBkgEvents_unboosted()

◆ SetNBkgEvents_unweighted()

◆ SetNBValidation()