Public Member Functions
bool	getDeepestSiblingStates (double P, std::map< long int, SpLearningStateConcept > &states, attribute_id _x, attribute_id _y)

bool	recurseToDeepestSiblingStates (double P, tree< SpLearningStateConcept >::sibling_iterator node, std::map< long int, SpLearningStateConcept > &states, attribute_id _x, attribute_id _y)

bool	getMostLikelySiblingStates (double P, std::map< long int, SpLearningStateConcept > &states)

void	recurseToMostLikelySiblingStates (double P, tree< SpLearningStateConcept >::sibling_iterator node, std::map< long int, SpLearningStateConcept > &states)

double	categoryUtility (bool with_parent)

double	categoryUtilityState (SpLearningStateConcept state, int totalN, double &totalP)

double	categoryUtilityState (SpLearningStateConcept state)

bool	kinshipRelation (SpLearningStateConcept state1, SpLearningStateConcept state2)

tree< SpLearningStateConcept > *	getHierarchy ()

void	setDepth (int level)

void	setDepth ()

int	getDepth ()

int	execute (SpLearningContext, SpLearningContextualisedObject, double)

void	print ()

void	relabelTree ()

bool	cutoff (tree< SpLearningStateConcept >::iterator, SpInstance Instance)

void	MILES (tree< SpLearningStateConcept >::iterator, SpInstance Instance, bool)

int	setDistancesToLeaf (tree< SpLearningStateConcept >::sibling_iterator Node)

void	setDistancesToLeaf (tree< SpLearningStateConcept >::iterator Node)

void	copyEvents (SpLearningStateConcept original, SpLearningStateConcept toCopy)

tree< SpLearningStateConcept >::iterator	doMerge (tree< SpLearningStateConcept >::iterator, tree< SpLearningStateConcept >::iterator, tree< SpLearningStateConcept >::iterator, SpLearningStateConcept)

void	doSplit (tree< SpLearningStateConcept >::iterator, tree< SpLearningStateConcept >::iterator)

int	determineBest (double, double, double, double)

void	getBestChildren (tree< SpLearningStateConcept >::iterator , tree< SpLearningStateConcept >::iterator , tree< SpLearningStateConcept >::iterator)

void	computeKParent ()

double *	computeKComponents (tree< SpLearningStateConcept >::iterator)

void	updateChildrenProbabilities (tree< SpLearningStateConcept >::iterator)

bool	isTerminal (tree< SpLearningStateConcept >::iterator)

bool	isEmptyTree (tree< SpLearningStateConcept >::iterator)

double	computeSplittingNode (tree< SpLearningStateConcept >::iterator, tree< SpLearningStateConcept >::iterator, SpInstance)

SpLearningStateConcept	computeMergingNodes (tree< SpLearningStateConcept >::iterator, tree< SpLearningStateConcept >::iterator, tree< SpLearningStateConcept >::iterator, SpInstance)

SpLearningStateConcept	mergeNodes (tree< SpLearningStateConcept >::iterator, tree< SpLearningStateConcept >::iterator)

void	computeChildrenScores (tree< SpLearningStateConcept >::iterator, SpInstance)

SpLearningStateConcept	computeNewChild (tree< SpLearningStateConcept >::iterator, SpInstance)

void	createNewTerminal (tree< SpLearningStateConcept >::iterator, SpInstance)

void	insertNewChild (tree< SpLearningStateConcept >::iterator, SpInstance)

SpLearningStateConcept	copyNode (SpLearningStateConcept)

SpLearningStateConcept	copyInstance (SpInstance)

void	insertRoot (tree< SpLearningStateConcept >::iterator, SpInstance)

void	Incorporate (SpLearningStateConcept, tree< SpLearningStateConcept >::iterator, SpInstance)

void	incorporateNumericalValue (SpNumericalAttributeValuePair nodePair, SpContextualisedNumericalData instancePair, double acuity)

void	incorporateSymbolicValue (SpSymbolicAttributeValuePair nodePair, SpContextualisedSymbolicData instancePair)

double	incrementalMean (double, double, double, double)

double	incrementalSigma (double, double, double, double, double, double)

Public Attributes
tree< SpLearningStateConcept >	conceptsHierarchy

std::map< long int, SpLearningStateConcept >	registeredStates

std::map< long int, SpLearningEventConcept >	registeredEvents

int	lc_id

SpInstance	currentInstance

SpLearningContextualisedObject	currentObject

SpLearningContext	currentContext

std::map< int, SpLearningStateConcept >	currentStatesForInstance

double *	k_components

double	k_parent

int	deepest_level

int	deepest_for_instance

long int	free_state_id

long int	free_event_id

double	tdiff

bool	insertionDone

bool	terminalDone

bool	splitDone

bool	mergeDone

double	diffSplit

double	diffNew

double	diffBest

double	diffMerge

Static Public Attributes
static SpLearningAttributes	availableAttributes = nullOne

static double	minConditionalP = 0.1

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

src/HierarchyTree.h
src/HierarchyTree.cpp

Public Member Functions

Public Attributes

Static Public Attributes