Index

A B C D E F G I J L M N O P R S T U W

A

addContent(Object) - Method in class weka.associations.classification.CrNode: Adds an element to the content FastVector of a node.
addErrs(double, double, float) - Static method in class weka.associations.classification.JCBAPruning: Computes estimated pessimistic error rate for given total number of instances and error using normal approximation to binomial distribution (and continuity correction).
aSubsumesB(RuleItem, RuleItem) - Static method in class weka.associations.classification.CaRuleGeneration: Methods that decides whether or not rule a subsumes rule b.

B

buildClassifier(Instances) - Method in class weka.classifiers.rules.car.JCBA: Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.rules.car.WeightedClassifier: Generates the classifier.

C

calculateDefaultClass(Instances) - Method in class weka.associations.classification.JCBAPruning: Calculates the default class as the majority class in the instances
calculateError(FastVector, FastVector) - Method in class weka.associations.classification.JCBAPruning: Calculates the pessimistic error rate of a rule
CarClassifier - Class in weka.classifiers.rules.car: Abstract class that has to be implemented by all classifiers for class association rules
CarClassifier() - Constructor for class weka.classifiers.rules.car.CarClassifier
carMinerTipText() - Method in class weka.classifiers.rules.car.JCBA: Gets the tipText for this option.
carMinerTipText() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the tipText for this option.
CaRuleGeneration - Class in weka.associations.classification: Class implementing the rule generation procedure of the predictive apriori algorithm for class association rules.
CaRuleGeneration(ItemSet) - Constructor for class weka.associations.classification.CaRuleGeneration: Constructor
CBATipText() - Method in class weka.classifiers.rules.car.JCBA: Gets the tipText for the specified option.
CFTipText() - Method in class weka.classifiers.rules.car.JCBA: Gets the tipText for the specified option.
classifyInstance(Instance) - Method in class weka.classifiers.rules.car.JCBA: Classifies an instance
CrList - Class in weka.associations.classification: Class for the associated list of a CrTree.
CrList() - Constructor for class weka.associations.classification.CrList: Constructor that creates an empty list.
CrListElement - Class in weka.associations.classification: Class for list elements in the associated list of a CrTree.
CrListElement(CrListElement, CrListElement, int, int, int) - Constructor for class weka.associations.classification.CrListElement: Constructor that constructs a CrListElement and a CrNode to which the list element is pointing.
CrNode - Class in weka.associations.classification: Class for nodes in a CrTree.
CrNode(int, int, int) - Constructor for class weka.associations.classification.CrNode: Constructor of a CrNode.
CrTree - Class in weka.associations.classification: Class for building and using a CrTree.
CrTree() - Constructor for class weka.associations.classification.CrTree: Constructor constructs an empty CrTree
CrTree(CrNode, Instances, Instances) - Constructor for class weka.associations.classification.CrTree: Constructor
CrTree(Instances, Instances) - Constructor for class weka.associations.classification.CrTree: Constructor

D

deleteContent(CrNode, int) - Method in class weka.associations.classification.CrTree: Deletes one rule out of the CrTree
deleteContent(CrNode, int) - Method in class weka.associations.classification.PruneCAR: Deletes a consequence from a node
deleteItemSets(FastVector, int, int) - Static method in class weka.associations.classification.LabeledItemSet: Deletes all item sets that don't have minimum support and have more than maximum support
deleteListElement(CrListElement) - Method in class weka.associations.classification.CrList: Deletes the CrListElement out of the CrList
deleteNode(CrNode) - Method in class weka.associations.classification.CrTree: deletes a node out of the CrTree if possible
distributionForInstance(Instance) - Method in class weka.classifiers.rules.car.JCBA: Returns the class distribution for an instance
distributionForInstance(Instance) - Method in class weka.classifiers.rules.car.WeightedClassifier: Returns the class distribution for an instance
divide(Instances, boolean) - Static method in class weka.associations.classification.LabeledItemSet: Splits the class attribute away.

E

enumerateMeasures() - Method in class weka.classifiers.rules.car.JCBA: Lists all additional statistics that are available
enumerateMeasures() - Method in class weka.classifiers.rules.car.WeightedClassifier: Lists all additional statistics that are available
equalCondset(Object) - Method in class weka.associations.classification.LabeledItemSet: Compares two item sets
equals(int, int) - Method in class weka.associations.classification.CrListElement: Compares two CrListElements
equals(int, int) - Method in class weka.associations.classification.CrNode: Method that compares two nodes and returns true if their premise's items are the same.
equals(Object) - Method in class weka.associations.classification.LabeledItemSet: Tests if two item sets are equal.

F

forName(String, String[]) - Static method in class weka.associations.classification.PruneCAR: Creates a new instance of a PruneCAR given it's class name and (optional) arguments to pass to it's setOptions method.

G

generateRules(int, double[], Hashtable, double, Instances, TreeSet, int) - Method in class weka.associations.classification.CaRuleGeneration: Generates all rules for an item set.
generateRules(double, boolean) - Method in class weka.associations.classification.LabeledItemSet: Generates rules out of item sets
getAssociateList() - Method in class weka.associations.classification.CrTree: Gets the associated list
getCapabilities() - Method in class weka.classifiers.rules.car.JCBA: Returns default capabilities of the base associator.
getCapabilities() - Method in class weka.classifiers.rules.car.WeightedClassifier: Returns default capabilities of the base associator.
getCarMiner() - Method in class weka.classifiers.rules.car.JCBA: Gets the class association rule miner
getCarMiner() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the class association rule miner
getCBA() - Method in class weka.classifiers.rules.car.JCBA: Gets whether or not CBA or a standard decision list classifier is used
getCF() - Method in class weka.classifiers.rules.car.JCBA: Gets the confidence value for pessimistic-error-rate-based pruning
getClassValue(int) - Method in class weka.associations.classification.JCBAPruning: Gets the consequence (the class label) of a rule as an integer value.
getContent() - Method in class weka.associations.classification.CrListElement: Gets the item that is stored in a CrListElement.
getContent() - Method in class weka.associations.classification.CrNode: Gets the FastVector storing possibly a rule's consequence and additional measures
getDefaultClass() - Method in class weka.associations.classification.CrTree: Gets the default class
getDefaultClass() - Method in class weka.associations.classification.PrecedencePruning: Gets the default class
getHashtable(FastVector, int) - Static method in class weka.associations.classification.LabeledItemSet: Return a hashtable filled with the given item sets.
getHead() - Method in class weka.associations.classification.CrList: Gets the head of the CrList
getHeight() - Method in class weka.associations.classification.CrListElement: Gets the minimum height of all nodes in a CrTree that store the same item than the ListElement
getHeight() - Method in class weka.associations.classification.CrNode: Gets the height of a node in a CrTree
getLastListSibling() - Method in class weka.associations.classification.CrNode: Gets the previous node in the associated list.
getLastSibling() - Method in class weka.associations.classification.CrNode: Gets the previous sibling node.
getListSibling() - Method in class weka.associations.classification.CrNode: Gets the CrListElement that the current node is pointing to
getMeasure(String) - Method in class weka.classifiers.rules.car.JCBA: Gets the additional statistics
getMeasure(String) - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the additional statistics
getMilliSeconds() - Method in class weka.classifiers.rules.car.utils.Stopwatch: returns the milliseconds
getNextListSibling() - Method in class weka.associations.classification.CrNode: Gets the next node in the associated list.
getNextSibling() - Method in class weka.associations.classification.CrNode: Gets the next sibling node in a CrTree
getOptions() - Method in class weka.associations.classification.CrTree: Gets the current settings of the CrTree object.
getOptions() - Method in class weka.associations.classification.JCBAPruning: Gets the current settings of the Apriori object.
getOptions() - Method in class weka.associations.classification.PrecedencePruning: Gets options
getOptions() - Method in class weka.classifiers.rules.car.JCBA: Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the current settings of the Classifier.
getOptPruning() - Method in class weka.classifiers.rules.car.JCBA: Gets whether or not optional pruning is turned on
getPathInfo() - Method in class weka.associations.classification.CrNode: Gets the item from a rule's premise that is stored in a CrNode.
getPrecedenceList() - Method in class weka.associations.classification.JCBAPruning: Gets the sorted list (according to the interestingness measure) of all rules.
getPred() - Method in class weka.associations.classification.CrListElement: Gets the predecessor
getPrune() - Method in class weka.classifiers.rules.car.JCBA: Gets the pruning algorithm: JCBAPruning
getPrune() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the pruning algorithm: PrecedencePruning
getRevision() - Method in class weka.classifiers.rules.car.JCBA: Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.car.WeightedClassifier: Returns the revision string.
getRoot() - Method in class weka.associations.classification.CrTree: Gets the root node
getRuleLimit() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the rule limit (-1 means no limit)
getSeconds() - Method in class weka.classifiers.rules.car.utils.Stopwatch: returns the seconds
getSiblingNode() - Method in class weka.associations.classification.CrListElement: Gets the node to wich the CrListElement is pointing
getStopIndex() - Method in class weka.associations.classification.JCBAPruning: Gets the number of rules that should be used for classification
getSucc() - Method in class weka.associations.classification.CrListElement: Gets the successor
getTechnicalInformation() - Method in class weka.classifiers.rules.car.JCBA: Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTreeChild() - Method in class weka.associations.classification.CrNode: Gets the child node
getTreeOutput() - Method in class weka.classifiers.rules.car.JCBA: Gets whether or not the mined rule set is part of the output
getTreeParent() - Method in class weka.associations.classification.CrNode: Gets the parent node of the actual node.
getWeightScheme() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the type of the weighting scheme
globalInfo() - Method in class weka.classifiers.rules.car.JCBA: Gets a description of the JCBA algorithm
globalInfo() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets a description of WeightedClassifier

I

insertContent(CrNode, FastVector) - Method in class weka.associations.classification.CrTree: Adds another consequence to an existing premise.
insertContent(CrNode, FastVector) - Method in class weka.associations.classification.JCBAPruning: Insert the consequence and the interestingness measures of a rule and builds up the precedence information that allows a ranking according to the interestingness measures
insertContent(CrNode, FastVector) - Method in class weka.associations.classification.PrecedencePruning: Insert consequence to a node and updates the precedence list
insertContent(CrNode, FastVector) - Method in class weka.associations.classification.PruneCAR: Inserts a consequence and the according interestingness measures into a node
insertListElement(int, int, int) - Method in class weka.associations.classification.CrList: Inserts a new element at the end of the list and returns it.
insertNode(FastVector, FastVector) - Method in class weka.associations.classification.CrTree: insert a new rule into the CrTree in three steps: 1.
intermediateClassificationForInstance(Instance, JCBAPruning, Instances) - Method in class weka.classifiers.rules.car.JCBA: Does the intermediate classification step during the CBA's obligatory pruning
isEmpty() - Method in class weka.associations.classification.CrList: Returns whether or not the CrList is empty.
isEmpty() - Method in class weka.associations.classification.CrTree: Checks if the the CrTree is empty
isEmpty() - Method in class weka.associations.classification.PruneCAR: Tests if there are rules

J

JCBA - Class in weka.classifiers.rules.car: Class implemting a java version of the CBA algorithm using a CrTree.
JCBA() - Constructor for class weka.classifiers.rules.car.JCBA
JCBAPruning - Class in weka.associations.classification: Class implemting the pruning step of the CBA algorithm using a CrTree.
JCBAPruning() - Constructor for class weka.associations.classification.JCBAPruning: Constructor

L

LabeledItemSet - Class in weka.associations.classification: Class for storing a set of items together with a class label.
LabeledItemSet(int, int) - Constructor for class weka.associations.classification.LabeledItemSet: Constructor
listOptions() - Method in class weka.associations.classification.CrTree: Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.classification.JCBAPruning: Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.classification.PrecedencePruning: Lists options
listOptions() - Method in class weka.classifiers.rules.car.JCBA: Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.rules.car.WeightedClassifier: Returns an enumeration describing the available options

M

main(String[]) - Static method in class weka.classifiers.rules.car.JCBA: Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.rules.car.WeightedClassifier: Main method for testing this class.
makeEmpty() - Method in class weka.associations.classification.CrTree: Deletes the whole CrTree and its associated list by setting the child pointer of the root to null
measureAverageRankCorrect() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the average rank of the first rule that covers an instance.
measureAverageRankFires() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the average rank of the first rule that covers an instance and predicts it correctly.
measureMiningTime() - Method in class weka.classifiers.rules.car.JCBA: Gets the mining time
measureMiningTime() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the mining time
measureNumClassRules() - Method in class weka.classifiers.rules.car.JCBA: Gets the number of rules used for classification
measureNumClassRules() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the number of rules used for classification
measureNumMinedRules() - Method in class weka.classifiers.rules.car.JCBA: Gets the number of mined rules
measureNumMinedRules() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the number of mined rules
measureNumPrunedRules() - Method in class weka.classifiers.rules.car.JCBA: Gets the number of rules after the optional pruning step
measureNumPrunedRules() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the number of rules after the optional pruning step
measurePruningTime() - Method in class weka.classifiers.rules.car.JCBA: Gets the pruning time in seconds
measurePruningTime() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the pruning time in seconds
mergeAllItemSets(FastVector, int, int) - Static method in class weka.associations.classification.LabeledItemSet: Merges all item sets in the set of (k-1)-item sets to create the (k)-item sets and updates the counters.

N

numClassRules() - Method in class weka.associations.classification.JCBAPruning: The number of rules in the tree.
numClassRules() - Method in class weka.associations.classification.PrecedencePruning: Gets the number of classification rules
numMinedRules() - Method in class weka.associations.classification.JCBAPruning: Gets the number of rules after the mining process that tried to get inserted into the CrTree
numMinedRules() - Method in class weka.associations.classification.PrecedencePruning: Gets the number of mined rules
numPrunedRules() - Method in class weka.associations.classification.JCBAPruning: Gets the number of rules left after the (optional) pessimistic-error-rate-based pruning step.
numPrunedRules() - Method in class weka.associations.classification.PrecedencePruning: Gets the number of rules after the optional pessimistic-error.rate-based pruning

O

optPruning(boolean, float) - Method in class weka.associations.classification.JCBAPruning: Sets optional pruning on or off and its confidence value
optPruningTipText() - Method in class weka.classifiers.rules.car.JCBA: Gets the tipText for the specified option.

P

pathToString(String) - Method in class weka.associations.classification.CrTree: Prints a rule
PrecedencePruning - Class in weka.associations.classification: Class that allows a simple pessimistic-error-rate based pruning or omits pruning at all and just builds a CrTree with all mined rules.
PrecedencePruning() - Constructor for class weka.associations.classification.PrecedencePruning: Constructor
preprocess(ArrayList<Object>, ArrayList<Object>, ArrayList<Object>) - Method in class weka.associations.classification.CrTree: The preprocessing step before a rule is inserted into a CrTree.
preprocess(ArrayList<Object>, ArrayList<Object>, ArrayList<Object>) - Method in class weka.associations.classification.JCBAPruning: The preprocessing step before a rule is inserted into a CrTree.
preprocess(ArrayList<Object>, ArrayList<Object>, ArrayList<Object>) - Method in class weka.associations.classification.PrecedencePruning: Preprocesses a rule before it gets inserted into the tree.
preprocess(ArrayList<Object>, ArrayList<Object>, ArrayList<Object>) - Method in class weka.associations.classification.PruneCAR: Preprocesses rules before inserting them into the structure
prune() - Method in class weka.associations.classification.CrTree: Method for pruning a CrTree.
prune() - Method in class weka.associations.classification.JCBAPruning: Method that implements the obligatory pruning step
prune() - Method in class weka.associations.classification.PrecedencePruning: No pruning is perfomed (except of the optional pruning step in the preprocessing method).
prune() - Method in class weka.associations.classification.PruneCAR: Prunes rules out of tree
pruneBeforeInsertion(FastVector, FastVector) - Method in class weka.associations.classification.CrTree: Method that provides a pruning step before a rule is inserted into the CrTree.
pruneBeforeInsertion(FastVector, FastVector) - Method in class weka.associations.classification.JCBAPruning: Performs the (optional) pessimistic-error.rate-based pruning step.
pruneBeforeInsertion(FastVector, FastVector) - Method in class weka.associations.classification.PruneCAR: Pruning step before a rule is inserted into the structure
PruneCAR - Class in weka.associations.classification: Abstract scheme for storing and pruning class associations.
PruneCAR() - Constructor for class weka.associations.classification.PruneCAR
prunedRules() - Method in class weka.associations.classification.CrTree: Returns the number of pruned rules
prunedRules() - Method in class weka.associations.classification.PruneCAR: Gets the number of pruned rules.
pruneItemSets(FastVector, Hashtable) - Static method in class weka.associations.classification.LabeledItemSet: Prunes a set of (k)-item sets using the given (k-1)-item sets.
pruningCriterions(FastVector) - Method in class weka.associations.classification.CrTree: Potentially adds additional measures that can be used as pruning criterias to a rule.
pruningCriterions(FastVector) - Method in class weka.associations.classification.PruneCAR: FastVector defining additional pruning criteria

R

removeAtChild(CrNode, CrNode) - Method in class weka.associations.classification.CrTree: Deletes a node out of the parent list.
removeAtList(CrNode) - Method in class weka.associations.classification.CrTree: deletes the node out of the list that connects nodes storing the same item.
removeAtSibling(CrNode) - Method in class weka.associations.classification.CrTree: Deletes a node out of the child list.
reportSubtreeCount(CrNode) - Method in class weka.associations.classification.CrTree: Gets the class distribution of the rules from a subtree of a specified node
resetOptions() - Method in class weka.associations.classification.JCBAPruning: Resets the options to the default values.
ruleLimitTipText() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the tipText for this option.
rulePremise() - Method in class weka.associations.classification.CrTree: Prints a rule premise (from bottom to top in the tree, respectively infrequent items to frequent ones).

S

search(FastVector) - Method in class weka.associations.classification.CrTree: Searches for an existing rule premise are parts of an rule premise in the CrTree
searchListElement(int, int) - Method in class weka.associations.classification.CrList: Searches for a CrListElement with the specified attribute number and attribute value.
searchListIndex(int, int) - Method in class weka.associations.classification.CrList: Gets the index and the minimum height of a CrListElement in a CrList
setCarMiner(CARuleMiner) - Method in class weka.classifiers.rules.car.JCBA: Sets the class association rule miner
setCarMiner(CARuleMiner) - Method in class weka.classifiers.rules.car.WeightedClassifier: Sets the class association rule miner
setCBA(boolean) - Method in class weka.classifiers.rules.car.JCBA: Sets whether or not CBA or a standard decision list classifier is used
setCF(float) - Method in class weka.classifiers.rules.car.JCBA: Sets the confidence value for pessimistic-error-rate-based pruning
setContent(int[]) - Method in class weka.associations.classification.CrListElement: Sets the item that is stored in a CrListElement.
setDefaultClass() - Method in class weka.associations.classification.CrTree: Sets the default class as the amjority class in the instances.
setDefaultClass(int) - Method in class weka.associations.classification.JCBAPruning: Sets the default class in each step during obligatory pruning.
setDefaultClass() - Method in class weka.associations.classification.PrecedencePruning: Sets the default class as the majority class label of all instances
setHeight(int) - Method in class weka.associations.classification.CrListElement: Sets the minimum height of all nodes in a CrTree that store the same item than the ListElement
setHeight(int) - Method in class weka.associations.classification.CrNode: Sets the height of a node in a CrTree
setInstances(Instances) - Method in class weka.associations.classification.JCBAPruning: Sets the instances (including the class attribute)
setInstancesNoClass(Instances) - Method in class weka.associations.classification.CrTree: Sets the instances (without class attribute)
setInstancesNoClass(Instances) - Method in class weka.associations.classification.PruneCAR: Sets the instances without the class attribute
setInstancesOnlyClass(Instances) - Method in class weka.associations.classification.CrTree: Sets the class information
setInstancesOnlyClass(Instances) - Method in class weka.associations.classification.PruneCAR: Sets the instances where all attributes except for the class attribute are deleted
setLastListSibling(CrNode) - Method in class weka.associations.classification.CrNode: Sets the pointer to the previous node in the associated list.
setLastSibling(CrNode) - Method in class weka.associations.classification.CrNode: Sets the pointer to the previous sibling node
setListSibling(CrListElement) - Method in class weka.associations.classification.CrNode: Sets the pointer to an element in the associated list.
setNewContent(FastVector) - Method in class weka.associations.classification.CrNode: Stores a rule's consequence and its measures in a FastVector
setNextListSibling(CrNode) - Method in class weka.associations.classification.CrNode: Sets the pointer to the next node in the associated list.
setNextSibling(CrNode) - Method in class weka.associations.classification.CrNode: Sets the pointer to the next sibling node
setNoPessPruning(boolean) - Method in class weka.associations.classification.PrecedencePruning: Sets pessimistic-error-rate-based pruning
setOptions(String[]) - Method in class weka.associations.classification.CrTree: Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.classification.JCBAPruning: Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.classification.PrecedencePruning: Sets options
setOptions(String[]) - Method in class weka.classifiers.rules.car.JCBA: Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.rules.car.WeightedClassifier: Parses a given list of options.
setOptPruning(boolean) - Method in class weka.classifiers.rules.car.JCBA: Sets optional pruning
setPred(CrListElement) - Method in class weka.associations.classification.CrListElement: Sets the predecessor
setRuleLimit(int) - Method in class weka.classifiers.rules.car.WeightedClassifier: Sets a rule limit.
setSiblingNode(CrNode) - Method in class weka.associations.classification.CrListElement: Sets the node to wich the CrListElement is pointing
setSucc(CrListElement) - Method in class weka.associations.classification.CrListElement: Sets the sucessor.
setTreeChild(CrNode) - Method in class weka.associations.classification.CrNode: Sets the pointer to a child node.
setTreeOutput(boolean) - Method in class weka.classifiers.rules.car.JCBA: Sets whether or not mined rule set is part of the output
setTreeParent(CrNode) - Method in class weka.associations.classification.CrNode: Sets the pointer to a parent node
setWeightScheme(SelectedTag) - Method in class weka.classifiers.rules.car.WeightedClassifier: Sets the weighting scheme
singleConsequence(Instances) - Static method in class weka.associations.classification.CaRuleGeneration: generates a consequence of length 1 for a class association rule.
singletons(Instances) - Static method in class weka.associations.classification.CaRuleGeneration: Converts the header info of the given set of instances into a set of item sets (singletons).
singletons(Instances, Instances) - Static method in class weka.associations.classification.LabeledItemSet: Converts the header info of the given set of instances into a set of item sets (singletons).
sortAttributes(Instances, Instance, CrTree) - Method in class weka.classifiers.rules.car.CarClassifier: Sorts the items accoridng to the sorting in the CrTree where the mined rules are stored.
sortItemSet(ItemSet) - Method in class weka.associations.classification.CrTree: Sorts an item set accoring to the frequencies values of the items.
start() - Method in class weka.classifiers.rules.car.utils.Stopwatch: starts the "clock"
stop() - Method in class weka.classifiers.rules.car.utils.Stopwatch: stops the "clock"
Stopwatch - Class in weka.classifiers.rules.car.utils: This class provides a simple method to measure runtime behaviour.
Stopwatch() - Constructor for class weka.classifiers.rules.car.utils.Stopwatch: Constructor initializes the object
support() - Method in class weka.associations.classification.LabeledItemSet: Outputs the support for an item set.

T

TAGS_SELECTION - Static variable in class weka.classifiers.rules.car.WeightedClassifier
toString() - Method in class weka.associations.classification.CrList: Returns a string description of the CrList
toString() - Method in class weka.associations.classification.CrListElement: Methods that returns a string description for a CrListElement
toString() - Method in class weka.associations.classification.CrNode: Method for printing CrNodes
toString(String) - Method in class weka.associations.classification.CrTree: Returns a string description of the CrTree Object
toString(String) - Method in class weka.associations.classification.JCBAPruning: Returns a string description of the rule set stored in the tree
toString(String, int) - Method in class weka.associations.classification.PrecedencePruning: Outputs the CrTree
toString(String) - Method in class weka.associations.classification.PruneCAR: Outputs the rules
toString() - Method in class weka.classifiers.rules.car.JCBA: Prints the rules
toString() - Method in class weka.classifiers.rules.car.utils.Stopwatch: returns the time in Seconds
toString() - Method in class weka.classifiers.rules.car.WeightedClassifier: Prints the rules
treeOutputTipText() - Method in class weka.classifiers.rules.car.JCBA: Gets the tipText for the specified option.

U

upDateCounter(Instance, Instance) - Method in class weka.associations.classification.LabeledItemSet: Updates counter of item set with respect to given transaction.
upDateCounters(FastVector, Instances, Instances) - Static method in class weka.associations.classification.LabeledItemSet: Updates counter of a specific item set
updateHeight(CrNode) - Method in class weka.associations.classification.CrTree: Adjust the (minimum) height of a CrListElement

W

weight(String, double) - Method in class weka.classifiers.rules.car.WeightedClassifier: Weights a rule
WeightedClassifier - Class in weka.classifiers.rules.car: Class implemting three different weighted classifiers for class association rules.
WeightedClassifier() - Constructor for class weka.classifiers.rules.car.WeightedClassifier
weightSchemeTipText() - Method in class weka.classifiers.rules.car.WeightedClassifier: Gets the tipText for this option.
weka.associations.classification - package weka.associations.classification
weka.classifiers.rules.car - package weka.classifiers.rules.car
weka.classifiers.rules.car.utils - package weka.classifiers.rules.car.utils

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