Node class used for representing a decision tree. More...

Public Member Functions
	Node (const pandora::TiXmlHandle *const pXmlHandle)
	Constructor using xml handle to set member variables. More...

	Node (const Node &rhs)
	Copy constructor. More...

Node &	operator= (const Node &rhs)
	Assignment operator. More...

	~Node ()
	Destructor. More...

int	GetNodeId () const
	Return node id. More...

int	GetParentNodeId () const
	Return parent node id. More...

int	GetLeftChildNodeId () const
	Return left child node id. More...

int	GetRightChildNodeId () const
	Return right child node id. More...

bool	IsLeaf () const
	Return is the node a leaf. More...

double	GetThreshold () const
	Return node threshold. More...

int	GetVariableId () const
	Return cut variable. More...

bool	GetOutcome () const
	Return outcome. More...

Private Attributes
int	m_nodeId
	Node id. More...

int	m_parentNodeId
	Parent node id. More...

int	m_leftChildNodeId
	Left child node id. More...

int	m_rightChildNodeId
	Right child node id. More...

bool	m_isLeaf
	Is node a leaf. More...

double	m_threshold
	Threshold used for decision if decision node. More...

int	m_variableId
	Variable cut on for decision if decision node. More...

bool	m_outcome
	Outcome if leaf node. More...

Detailed Description

Node class used for representing a decision tree.

Definition at line 95 of file LArAdaBoostDecisionTree.h.

Constructor & Destructor Documentation

lar_content::AdaBoostDecisionTree::Node::Node ( const pandora::TiXmlHandle *const pXmlHandle )

Constructor using xml handle to set member variables.

Parameters

pXmlHandle xml handle to use when setting member variables

Referenced by lar_content::AdaBoostDecisionTree::CalculateScore(), and ~Node().

lar_content::AdaBoostDecisionTree::Node::Node ( const Node & rhs )

Copy constructor.

Parameters

rhs	the node to copy

Definition at line 224 of file LArAdaBoostDecisionTree.cc.

                                               :
     m_nodeId(rhs.m_nodeId),
     m_parentNodeId(rhs.m_parentNodeId),
     m_leftChildNodeId(rhs.m_leftChildNodeId),
     m_rightChildNodeId(rhs.m_rightChildNodeId),
     m_isLeaf(rhs.m_isLeaf),
     m_threshold(rhs.m_threshold),
     m_variableId(rhs.m_variableId),
     m_outcome(rhs.m_outcome)
 {
 }

lar_content::AdaBoostDecisionTree::Node::~Node ( )

Destructor.

Definition at line 257 of file LArAdaBoostDecisionTree.cc.

References GetNodeId(), Node(), and lar_content::AdaBoostDecisionTree::WeakClassifier::WeakClassifier().

258 {

259 }

Member Function Documentation

int lar_content::AdaBoostDecisionTree::Node::GetLeftChildNodeId ( ) const

inline

Return left child node id.

Returns: left child node id

Definition at line 344 of file LArAdaBoostDecisionTree.h.

References m_leftChildNodeId.

Referenced by lar_content::AdaBoostDecisionTree::WeakClassifier::EvaluateNode().

 {
     return m_leftChildNodeId;
 }

int lar_content::AdaBoostDecisionTree::Node::GetNodeId ( ) const

inline

Return node id.

Returns: node id

Definition at line 330 of file LArAdaBoostDecisionTree.h.

References m_nodeId.

Referenced by lar_content::AdaBoostDecisionTree::WeakClassifier::operator=(), lar_content::AdaBoostDecisionTree::WeakClassifier::WeakClassifier(), and ~Node().

 {
     return m_nodeId;
 }

bool lar_content::AdaBoostDecisionTree::Node::GetOutcome ( ) const

inline

Return outcome.

Returns: outcome of cut

Definition at line 379 of file LArAdaBoostDecisionTree.h.

References m_outcome.

Referenced by lar_content::AdaBoostDecisionTree::WeakClassifier::EvaluateNode().

 {
     return m_outcome;
 }

int lar_content::AdaBoostDecisionTree::Node::GetParentNodeId ( ) const

inline

Return parent node id.

Returns: parent node id

Definition at line 337 of file LArAdaBoostDecisionTree.h.

References m_parentNodeId.

 {
     return m_parentNodeId;
 }

int lar_content::AdaBoostDecisionTree::Node::GetRightChildNodeId ( ) const

inline

Return right child node id.

Returns: right child node id

Definition at line 351 of file LArAdaBoostDecisionTree.h.

References m_rightChildNodeId.

Referenced by lar_content::AdaBoostDecisionTree::WeakClassifier::EvaluateNode().

 {
     return m_rightChildNodeId;
 }

double lar_content::AdaBoostDecisionTree::Node::GetThreshold ( ) const

inline

Return node threshold.

Returns: threshold cut

Definition at line 365 of file LArAdaBoostDecisionTree.h.

References m_threshold.

Referenced by lar_content::AdaBoostDecisionTree::WeakClassifier::EvaluateNode().

 {
     return m_threshold;
 }

int lar_content::AdaBoostDecisionTree::Node::GetVariableId ( ) const

inline

Return cut variable.

Returns: variable cut on

Definition at line 372 of file LArAdaBoostDecisionTree.h.

References m_variableId.

Referenced by lar_content::AdaBoostDecisionTree::WeakClassifier::EvaluateNode().

 {
     return m_variableId;
 }

bool lar_content::AdaBoostDecisionTree::Node::IsLeaf ( ) const

inline

Return is the node a leaf.

Returns: is node a leaf

Definition at line 358 of file LArAdaBoostDecisionTree.h.

References m_isLeaf.

Referenced by lar_content::AdaBoostDecisionTree::WeakClassifier::EvaluateNode().

 {
     return m_isLeaf;
 }

AdaBoostDecisionTree::Node & lar_content::AdaBoostDecisionTree::Node::operator= ( const Node & rhs )

Assignment operator.

Parameters

rhs	the node to assign

Definition at line 238 of file LArAdaBoostDecisionTree.cc.

References m_isLeaf, m_leftChildNodeId, m_nodeId, m_outcome, m_parentNodeId, m_rightChildNodeId, m_threshold, and m_variableId.

 {
     if (this != &rhs)
     {
         m_nodeId = rhs.m_nodeId;
         m_parentNodeId = rhs.m_parentNodeId;
         m_leftChildNodeId = rhs.m_leftChildNodeId;
         m_rightChildNodeId = rhs.m_rightChildNodeId;
         m_isLeaf = rhs.m_isLeaf;
         m_threshold = rhs.m_threshold;
         m_variableId = rhs.m_variableId;
         m_outcome = rhs.m_outcome;
     }
 
     return *this;
 }

Member Data Documentation

bool lar_content::AdaBoostDecisionTree::Node::m_isLeaf

private

Is node a leaf.

Definition at line 185 of file LArAdaBoostDecisionTree.h.

Referenced by IsLeaf(), and operator=().

int lar_content::AdaBoostDecisionTree::Node::m_leftChildNodeId

private

Left child node id.

Definition at line 183 of file LArAdaBoostDecisionTree.h.

Referenced by GetLeftChildNodeId(), and operator=().

int lar_content::AdaBoostDecisionTree::Node::m_nodeId

private

Node id.

Definition at line 181 of file LArAdaBoostDecisionTree.h.

Referenced by GetNodeId(), and operator=().

bool lar_content::AdaBoostDecisionTree::Node::m_outcome

private

Outcome if leaf node.

Definition at line 188 of file LArAdaBoostDecisionTree.h.

Referenced by GetOutcome(), and operator=().

int lar_content::AdaBoostDecisionTree::Node::m_parentNodeId

private

Parent node id.

Definition at line 182 of file LArAdaBoostDecisionTree.h.

Referenced by GetParentNodeId(), and operator=().

int lar_content::AdaBoostDecisionTree::Node::m_rightChildNodeId

private

Right child node id.

Definition at line 184 of file LArAdaBoostDecisionTree.h.

Referenced by GetRightChildNodeId(), and operator=().

double lar_content::AdaBoostDecisionTree::Node::m_threshold

private

Threshold used for decision if decision node.

Definition at line 186 of file LArAdaBoostDecisionTree.h.

Referenced by GetThreshold(), and operator=().

int lar_content::AdaBoostDecisionTree::Node::m_variableId

private

Variable cut on for decision if decision node.

Definition at line 187 of file LArAdaBoostDecisionTree.h.

Referenced by GetVariableId(), and operator=().

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

larpandoracontent/v04_08_01/source/larpandoracontent/LArObjects/LArAdaBoostDecisionTree.h
larpandoracontent/v04_08_01/source/larpandoracontent/LArObjects/LArAdaBoostDecisionTree.cc

Public Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation