Index (DiscriminationAwareProcessAnalysis)

A B C D E F G H I J K L M N O P Q R S T U V W X Y
All Classes All Packages

A

Abstraction_Generic - Class in org.processmining.plugins.workshop.Yaguang.ca: Abstract Class to enable any kind of abstraction.
Abstraction_Generic() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Generic
Abstraction_Qualitative - Class in org.processmining.plugins.workshop.Yaguang.ca: Class that implements a qualitative abstraction.
Abstraction_Qualitative(boolean) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Qualitative
AbstractionCreator - Class in org.processmining.plugins.workshop.Yaguang.ca: Abstract class that is thought to make it possible the creation of any kind of abstractions.
AbstractionCreator() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator
AbstractionCreator_Qualitative - Class in org.processmining.plugins.workshop.Yaguang.ca: Class that implements a qualitative abstraction.
AbstractLoader - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Abstract class gives default implementation of setSource methods.
AbstractLoader() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader
acc - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
acc - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation
ACCEPT - Static variable in class org.processmining.prediction.NewTreeVisualizer.TreeDisplayEvent: States that the user has accepted the tree.
accuracyStd(double, double, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
actFP - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
actionPerformed(ActionEvent) - Method in class org.processmining.prediction.ActivityPanel
actionPerformed(ActionEvent) - Method in class org.processmining.prediction.LogClusterListener
actionPerformed(ActionEvent) - Method in class org.processmining.prediction.newPrefuseTreeVis.TreePanel.OrientAction
actionPerformed(ActionEvent) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Performs the action associated with the ActionEvent.
actionPerformed(ActionEvent) - Method in class org.processmining.prediction.PrefuseTreeVisualization.TreePanel.OrientAction
ActivitiesGrouper - Interface in org.processmining.prediction
ActivityDuration - Class in org.processmining.prediction.Augmentation
ActivityDuration() - Constructor for class org.processmining.prediction.Augmentation.ActivityDuration
ActivityLevelAugmentation - Interface in org.processmining.prediction.Augmentation
ActivityName - Class in org.processmining.prediction.Augmentation
ActivityName() - Constructor for class org.processmining.prediction.Augmentation.ActivityName
ActivityPanel - Class in org.processmining.prediction
ActivityPanel(Collection<String>, VariablePanel) - Constructor for class org.processmining.prediction.ActivityPanel
actMP - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
actualNumBags() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns number of non-empty bags of distribution.
actualNumClasses() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns number of classes actually occuring in distribution.
actualNumClasses(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns number of classes actually occuring in given bag.
add(int, double[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Adds counts to given bag.
add(int, Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Adds given instance to given bag.
add(ItemAbstractionPair) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It adds an item with its abstraction in the pattern.
add(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Adds one instance to the end of the set.
add(Matrix) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Returns the sum of this matrix with another.
ADD_CHILDREN - Static variable in class org.processmining.prediction.NewTreeVisualizer.TreeDisplayEvent
addActivityDurationForLogMove(XTrace, Integer) - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
addAppearance(Integer, Position) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It adds an appearance for the sequence and a position item given as parameter in the current IdList
addAppearance(IDList, Integer, Integer, Integer) - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IdListCreator: Add an appearance to an Idlist.
addAppearance(IDList, Integer, Integer, Integer) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IdListCreatorStandard_Map: It adds to an Idlist of entries of arraylists an appearance >
addAppearancesInSequence(Integer, List<Position>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It adds the appearances for the sequence and the position items list given as parameter in the current IdList
addAppearancesInSequence(IDList, Integer, List<Position>) - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IdListCreator: Add several appearances in a same sequence to an Idlist
addAppearancesInSequence(IDList, Integer, List<Position>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IdListCreatorStandard_Map: It adds to an Idlist of entries of arraylists several appearances in a same sequence ,, ...,}>
addChild(Edge) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Set the value of children.
addDistinct(double, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats: Updates the counters for one more observed distinct value.
addElement(int, int, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Add a value to an element.
addElement(Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Adds an element to this vector.
addErrs(double, double, float) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Stats: Computes estimated extra error for given total number of instances and error using normal approximation to binomial distribution (and continuity correction).
addInstance(Map<String, Object>, Object, float) - Method in class org.processmining.prediction.J48Prediction
addInstance(Map<String, Object>, Object, float) - Method in class org.processmining.prediction.RepTreePrediction
addInstWithUnknown(Instances, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Adds all instances with unknown values for given attribute, weighted according to frequency of instances in each bag.
addItem(int, Item) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It adds an item in the specified itemset of the sequence
addItem(Item) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Itemset: It adds an item to the itemset.
addItemset(Itemset) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It adds an itemset in the last position of the sequence
AdditionalMeasureProducer - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface to something that can produce measures other than those calculated by evaluation modules.
addLayoutComponent(Component, Object) - Method in class org.processmining.prediction.RelativeLayout
addLayoutComponent(String, Component) - Method in class org.processmining.prediction.RelativeLayout: Not supported
addListSelectionListener(ListSelectionListener) - Method in class org.processmining.prediction.MyProMList
addMouseListener(MouseListener) - Method in class org.processmining.prediction.MyProMList
addNumericTrainClass(double, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Adds a numeric (non-missing) training class value and weight to the buffer of stored values.
addRange(int, Instances, int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Adds all instances in given range to given bag.
addSequence(String[]) - Method in class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase: Method that adds a sequence from a array of string
addSequence(Pattern, int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
addSequence(Sequence) - Method in class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase
addStringValue(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.
addStringValue(Attribute, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.
addTransitionToUnfinishedTransitions(Transition, XTrace, Integer, StepTypes) - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
addValue(double, double) - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Estimator: Add a new data value to the current estimator.
addValue(double, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.KernelEstimator: Add a new data value to the current estimator.
addWeights(Instance, double[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Adds given instance to all bags weighting it according to given weights.
adjustCenter(double) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Will increase or decrease the postion of center.
adjustForRounding(int[], int) - Method in class org.processmining.prediction.RelativeLayout
AlgoClaSP - Class in org.processmining.plugins.workshop.Yaguang.ca: This is an implementation of the ClaSP algorithm.
AlgoClaSP(double, AbstractionCreator, boolean, boolean) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Constructor of the class that calls ClaSP algorithm.
AlgoCM_ClaSP - Class in org.processmining.plugins.workshop.Yaguang.ca: This is an implementation of the ClaSP algorithm.
AlgoCM_ClaSP(double, AbstractionCreator, boolean, boolean) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Constructor of the class that calls ClaSP algorithm.
AlignmentFrame - Class in org.processmining.prediction
AlignmentFrame(Collection<String>, ResultReplay) - Constructor for class org.processmining.prediction.AlignmentFrame
AlignmentMove - Class in org.processmining.prediction.Augmentation
AlignmentMove(ResultReplay, String, String) - Constructor for class org.processmining.prediction.Augmentation.AlignmentMove
appearingInMap() - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IDList: It gets a map with a match between the sequences where the pattern associated with this IdList appears, and the position items of that sequence where the pattern is identified
appearingInMap() - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map
appendElements(FastVector) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Appends all elements of the supplied vector to this vector.
applyCostMatrix(Instances, Random) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: Applies the cost matrix to a set of instances.
arrayToString(Object) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns the given Array in a string representation.
assignIDs(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Assigns a uniqe id to every node in the tree.
attIndex() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Returns index of attribute for which split was generated.
attIndex() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Returns index of attribute for which split was generated.
attribute(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the attribute with the given index.
attribute(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns an attribute.
attribute(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns an attribute given its name.
Attribute - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for handling an attribute.
Attribute(String) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constructor for a numeric attribute.
Attribute(String, String) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constructor for a date attribute.
Attribute(String, String, ProtectedProperties) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constructor for a date attribute, where metadata is supplied.
Attribute(String, FastVector) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constructor for nominal attributes and string attributes.
Attribute(String, FastVector, ProtectedProperties) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constructor for nominal attributes and string attributes, where metadata is supplied.
Attribute(String, ProtectedProperties) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constructor for a numeric attribute, where metadata is supplied.
attributeIndicesTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Returns the tip text for this property
attributeName - Variable in class org.processmining.prediction.Augmentation.Augmentation
AttributeSettingPanel - Class in org.processmining.prediction
attributeSparse(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the attribute with the given index.
attributeSparse(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Returns the attribute associated with the internal index.
attributeStats(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Calculates summary statistics on the values that appear in this set of instances for a specified attribute.
AttributeStats - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: A Utility class that contains summary information on an the values that appear in a dataset for a particular attribute.
AttributeStats() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats
attributeToDoubleArray(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Gets the value of all instances in this dataset for a particular attribute.
AttributeValue - Class in org.processmining.prediction.Augmentation
AttributeValue(String) - Constructor for class org.processmining.prediction.Augmentation.AttributeValue
attributeValuesString(Instance, Range) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Builds a string listing the attribute values in a specified range of indices, separated by commas and enclosed in brackets.
Augmentation - Class in org.processmining.prediction.Augmentation
Augmentation(String) - Constructor for class org.processmining.prediction.Augmentation.Augmentation
augmentLog(Augmentation[], boolean, TaskForProgressBar) - Method in class org.processmining.prediction.Predictor
augmentLog(TaskForProgressBar) - Method in class org.processmining.prediction.DecisionTreePanel
augmentLogNDC(Augmentation[], boolean, TaskForProgressBar) - Method in class org.processmining.prediction.Predictor
AutoPanAction() - Constructor for class org.processmining.prediction.newPrefuseTreeVis.TreePanel.AutoPanAction
AutoPanAction() - Constructor for class org.processmining.prediction.PrefuseTreeVisualization.TreePanel.AutoPanAction
avgCost() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Gets the average cost, that is, total cost of misclassifications (incorrect plus unclassified) over the total number of instances.

B

backQuoteChars(String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Converts carriage returns and new lines in a string into \r and \n.
balanceInstances() - Method in class org.processmining.prediction.J48Prediction
balanceInstances() - Method in interface org.processmining.prediction.Leafable
BATCH - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader
BatchConverter - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Marker interface for a loader/saver that can retrieve instances in batch mode
batchFilterFile(Filter, String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Method for testing filters ability to process multiple batches.
batchFinished() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Signify that this batch of input to the filter is finished.
batchFinished() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter
BayesNet - Static variable in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Drawable
bgColor - Variable in class org.processmining.prediction.newPrefuseTreeVis.VisConfigurables
big - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
biginv - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
binarySplitsTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the tip text for this property
binarySplitsTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
binaryTree() - Method in class org.processmining.prediction.ConfigurationPanel
BinC45ModelSelection - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for selecting a C4.5-like binary (!) split for a given dataset.
BinC45ModelSelection(int, Instances) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45ModelSelection: Initializes the split selection method with the given parameters.
BinC45Split - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class implementing a binary C4.5-like split on an attribute.
BinC45Split(int, int, double) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Initializes the split model.
binomialStandardError(double, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics: Computes standard error for observed values of a binomial random variable.
BOOLEAN - org.processmining.prediction.PredictionType
bufferInput(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Adds the supplied input instance to the inputformat dataset for later processing.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Creates a C4.5-type split on the given data.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree: Method for building a pruneable classifier tree.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Creates a C4.5-type split on the given data.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Generates a classifier.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Builds the classifier split model for the given set of instances.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Method for building a classifier tree.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Generates the classifier.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Generates the classifier.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: Generates the classifier.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NoSplit: Creates a "no-split"-split for a given set of instances.
buildClassifier(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree: Method for building a pruneable classifier tree.
buildClassifire() - Method in class org.processmining.prediction.TreeConstructor
buildFairClassifire() - Method in class org.processmining.prediction.TreeConstructor
buildNormalClassifire() - Method in class org.processmining.prediction.TreeConstructor
buildTree(Instances, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Builds the tree structure.
buildTree(Instances, Instances, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Builds the tree structure with hold out set

C

C45ModelSelection - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for selecting a C4.5-type split for a given dataset.
C45ModelSelection() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45ModelSelection
C45ModelSelection(int, Instances) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45ModelSelection: Initializes the split selection method with the given parameters.
C45PruneableClassifierTree - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for handling a tree structure that can be pruned using C4.5 procedures.
C45PruneableClassifierTree(ModelSelection, boolean, float, boolean, boolean) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree: Constructor for pruneable tree structure.
C45Split - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class implementing a C4.5-type split on an attribute.
C45Split(int, int, double) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Initializes the split model.
caIndex - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: continue to calculate discrimination with the output of each instace this is called from following function and class public double evaluateModelOnce(Classifier classifier, Instance instance) weka.classifiers.Evaluation.java
calculateStdv(double[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
capacity() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Returns the capacity of the vector.
CASE_ACTIVITY - Static variable in class org.processmining.prediction.Predictor
caValues - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: continue to calculate discrimination with the output of each instace this is called from following function and class public double evaluateModelOnce(Classifier classifier, Instance instance) weka.classifiers.Evaluation.java
cdCount - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: cpCount=number of candidates for promotion cdCount=numeber of candidates for demotion
CENTER - Static variable in class org.processmining.prediction.RelativeLayout
changeLeaf() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
changeLeaf() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
check(double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Checks if at least two bags contain a minimum number of instances.
checkForRemainingOptions(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Checks if the given array contains any non-empty options.
checkForStringAttributes() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Checks for string attributes in the dataset
checkInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Checks if the given instance is compatible with this dataset.
checkMemory() - Method in class org.processmining.plugins.workshop.Yaguang.ca.MemoryLogger: Check the current memory usage and record it if it is higher than the amount of memory previously recorded.
checkModel() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Checks if generated model is valid.
checkSAValue(Instance) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: sets the value of SA when SA is not a part of test set called from ClassifierPanel.java
checkTime(int, PredictionType, String) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewDottyToTree: Check is value is in highest possible time format
chiSquaredProbability(double, double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics: Returns chi-squared probability for given value and degrees of freedom.
Choice - Class in org.processmining.prediction.Augmentation
Choice() - Constructor for class org.processmining.prediction.Augmentation.Choice
claSP(SequenceDatabase, long, boolean, boolean, boolean, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: The actual method for extracting frequent sequences.
claSP(SequenceDatabase, long, boolean, boolean, boolean, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: The actual method for extracting frequent sequences.
classAttribute() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns class attribute.
classAttribute() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the class attribute.
classifier - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: Classifier used as Ranker
classifier - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter
Classifier - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Abstract classifier.
Classifier() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier
classifierName - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
ClassifierSplitModel - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Abstract class for classification models that can be used recursively to split the data.
ClassifierSplitModel() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel
ClassifierTree - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for handling a tree structure used for classification.
ClassifierTree(ModelSelection) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Constructor.
classify(Map<String, Object>) - Method in class org.processmining.prediction.Predictor
CLASSIFY_CHILD - Static variable in class org.processmining.prediction.NewTreeVisualizer.TreeDisplayEvent: Asks for another learning scheme to classify this node.
classifyInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Classifies the given test instance.
classifyInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Classifies a given instance.
classifyInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Classifies an instance.
classifyInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Classifies an instance.
classifyInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Classifies an instance.
classIndex() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the class attribute's index.
classIndex() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the class attribute's index.
classIndexMap - Variable in class org.processmining.prediction.TreeConstructor
classIsMissing() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Tests if an instance's class is missing.
classMapping - Variable in class org.processmining.prediction.TreeConstructor
classProb(int, Instance, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Gets class probability for instance.
classProb(int, Instance, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Gets class probability for instance.
classProb(int, Instance, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Gets class probability for instance.
classProbLaplace(int, Instance, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Gets class probability for instance.
classValue() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns an instance's class value in internal format.
classValues - Variable in class org.processmining.prediction.TreeConstructor
cleanOriginalLogAttributes() - Method in class org.processmining.prediction.Predictor
cleanTreeRepresentation(String) - Method in class org.processmining.prediction.RepTreePrediction
cleanup() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45ModelSelection: Sets reference to training data to null.
cleanup() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45ModelSelection: Sets reference to training data to null.
cleanup(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Cleanup in order to save memory.
clear() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Qualitative
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: It clears all the attributes of AlgoClaSP class
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: It clears all the attributes of AlgoClaSP class
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.FrequentPatternEnumeration_ClaSP
clear() - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IDList: It clears the IdList.
clear() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.IdListCreatorStandard_Map: It removes the static fields.
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It clears the attributes of this IdList
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPairCreator
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern
clear() - Method in interface org.processmining.plugins.workshop.Yaguang.ca.Saver
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoFile
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoMemory
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
clear() - Method in class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: It removes all the descendants tries appearing below this NodeTrie
clear() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ProtectedProperties: Overrides a method to prevent the properties from being modified.
clone() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Allows to clone a model (shallow copy).
clone() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Clones distribution (Deep copy of distribution).
clone() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Creates and returns a clone of this object.
clone() - Method in class org.processmining.prediction.DiscretizationInterval
cloneItemSet() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Itemset: It clones the itemset.
clonePatron() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It clones a pattern
cloneSequence() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It clones a sequence
clusterLog(boolean, double) - Method in class org.processmining.prediction.Predictor
cndApplication(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging
cndApplication(Instances, double, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging
codingCost() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Returns coding cost for split (used in rule learner).
codingCost() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Returns coding costs of model.
collapse() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
color(ClassifierTree) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Set m_isDifferent to true for those leafs of the classifireTree whose label are dofferent with the corresponding leaf in the input classifireTree
colorGraph(J48WithNDCs) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Color the classifier in comparison to another classifier
Colors - Class in org.processmining.prediction.NewTreeVisualizer: This class maintains a list that contains all the colornames from the dotty standard and what color (in RGB) they represent
Colors() - Constructor for class org.processmining.prediction.NewTreeVisualizer.Colors
colorScale - Variable in class org.processmining.prediction.newPrefuseTreeVis.VisConfigurables
compactify() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Compactifies the set of instances.
compareFlag - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
compareObject(Object, Object) - Method in class org.processmining.prediction.Predictor
compareTo(Object) - Method in class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: It compares the TrieNode with either another TrieNode, a ItemAbstractionPair object or an item.
compareTo(Abstraction_Generic) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Qualitative
compareTo(Item) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Item
compareTo(ItemAbstractionPair) - Method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPair
compareTo(Pattern) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: Compare this pattern with another.
compareTo(Trie) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It compares this trie with another
comparInstance(Map<String, Object>, Map<String, Object>) - Method in class org.processmining.prediction.Predictor
component - Variable in class org.processmining.prediction.TaskForProgressBar
COMPONENT - Static variable in class org.processmining.prediction.RelativeLayout
computeDisc(Double[][]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
concatenar(Pattern) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It concatenates the given pattern to the current pattern
concatenate(ItemAbstractionPair) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It concatenates the given pair as a last element of the pattern
concatenate(Pattern, ItemAbstractionPair) - Method in class org.processmining.plugins.workshop.Yaguang.ca.PatternCreator: It concatenates a pair to the given pattern
confDep - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: Confidence of deprived community for desired class(dc)
confFav - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: Confidence of favoured community for desired class(dc)
confidenceDiff() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging
confidenceFactorTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the tip text for this property
confidenceFactorTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
ConfigurationPanel - Class in org.processmining.prediction
ConfigurationPanel(DecisionTreePanel, int) - Constructor for class org.processmining.prediction.ConfigurationPanel
configureAugmentation(Augmentation[]) - Method in class org.processmining.prediction.DecisionTreePanel
configureAugmentation(Augmentation[]) - Method in class org.processmining.prediction.Predictor
confusionMatrix() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns a copy of the confusion matrix.
contains(Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: added by akibriya
contents() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue.QueueNode: Returns the contents in the node.
contents(Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue.QueueNode: Sets the contents of the node.
CONTINUOS - org.processmining.prediction.PredictionType
convert(String) - Method in class org.processmining.prediction.PrefuseTreeVisualization: Converts the dotty format to GraphML.
convert(String) - Method in class org.processmining.prediction.PrefuseTreeVisualization.DottyToTree: Parses the incoming data and writes the generated output.
convert(String, PredictionType, HashMap<String, PredictionType>, VisConfigurables) - Method in class org.processmining.prediction.newPrefuseTreeVis.GraphMLParser: Converts the dotty format to TreeML.
convert(String, PredictionType, HashMap<String, PredictionType>, VisConfigurables) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewDottyToTree: Parses the incoming data and writes the generated output.
ConverterUtils - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Utility routines for the converter package.
ConverterUtils() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ConverterUtils
convertNewLines(String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Converts carriage returns and new lines in a string into \r and \n.
convertTime(String, int, PredictionType) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewDottyToTree
copy() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Produces a shallow copy of this attribute.
copy() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Copyable: This method produces a shallow copy of an object.
copy() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Produces a shallow copy of this vector.
copy() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Produces a shallow copy of this instance.
copy() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Produces a shallow copy of this instance.
Copyable - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface implemented by classes that can produce "shallow" copies of their objects.
copyElements() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Clones the vector and shallow copies all its elements.
copyInstances(int, Instances, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Copies instances from one set to the end of another one.
copyStringValues(Instance, boolean, Instances, int[], Instances, int[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Takes string values referenced by an Instance and copies them from a source dataset to a destination dataset.
copyStringValues(Instance, boolean, Instances, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Takes string values referenced by an Instance and copies them from a source dataset to a destination dataset.
correct() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Gets the number of instances correctly classified (that is, for which a correct prediction was made).
correlation(double[], double[], int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns the correlation coefficient of two double vectors.
correlationCoefficient() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the correlation coefficient if the class is numeric.
CostMatrix - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for storing and manipulating a misclassification cost matrix.
CostMatrix(int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: Creates a default cost matrix of a particular size.
CostMatrix(Reader) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: Creates a cost matrix from a reader.
CostMatrix(CostMatrix) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: Creates a cost matrix that is a copy of another.
count - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
countCond - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
cpCount - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: cpCount=number of candidates for promotion cdCount=numeber of candidates for demotion
crearAbstraccion(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative: It creates a relation with the given parameter.
create() - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IdListCreator: It creates an empty IdList.
create() - Method in class org.processmining.plugins.workshop.Yaguang.ca.IdListCreatorStandard_Map: It creates an empty IdList of entries of arraylists.
create(boolean) - Static method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Qualitative: It creates a new abstraction with the given value.
create(Reader, Map<String, PredictionType>, Character, float) - Method in class org.processmining.prediction.NewTreeVisualizer.TreeBuild: This will build A node structure from the dotty format passed.
createAttributeFastVector() - Method in class org.processmining.prediction.TreeConstructor
createAugmentation() - Method in class org.processmining.prediction.AlignmentFrame
CreateDataSet() - Method in class org.processmining.prediction.TreeConstructor
createDefaultAbstraction() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative: It creates a default abstraction.
createDefaultAbstraction() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator
createInstance(Map<String, Object>, Instances) - Method in class org.processmining.prediction.TreeConstructor
createPanel(TaskForProgressBar) - Method in class org.processmining.prediction.DecisionTreePanel
createPattern() - Method in class org.processmining.plugins.workshop.Yaguang.ca.PatternCreator: It creates an empty pattern
createPattern(List<ItemAbstractionPair>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.PatternCreator: It creates a pattern from a list of pairs of the form .
createPattern(ItemAbstractionPair) - Method in class org.processmining.plugins.workshop.Yaguang.ca.PatternCreator: It creates a pattern of only one item.
createTestAndTrainSatasets(int) - Method in class org.processmining.prediction.EvaluationNDC
createXAttribute(String, Object) - Static method in class org.processmining.prediction.Augmentation.Augmentation
crossValidateModel(String, Instances, int, String[], Random) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(Classifier, Instances, int, Random) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
csa_prune - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
CSVLoader - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Reads a text file that is comma or tab delimited..
CSVLoader() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader

D

data - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
dataset() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the dataset this instance has access to.
datasetScan(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
DATE - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constant set for attributes with date values.
dc - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
dcIndex - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
dcIndex - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: To store a desired class(dc) index and Not desired class index(ndc) from weka.classifiers.discrimination.java
dcIndex - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
dcProb - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
debugTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Returns the tip text for this property
DecisionTreePanel - Class in org.processmining.prediction
DecisionTreePanel(PluginContext, Predictor) - Constructor for class org.processmining.prediction.DecisionTreePanel
del(int, Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Deletes given instance from given bag.
delete() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Removes all instances from the set.
delete(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Removes an instance at the given position from the set.
deleteAttributeAt(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Deletes an attribute at the given position (0 to numAttributes() - 1).
deleteAttributeAt(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Deletes an attribute at the given position (0 to numAttributes() - 1).
deleteStringAttributes() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Deletes all string attributes in the dataset.
deleteWithMissing(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Removes all instances with missing values for a particular attribute from the dataset.
deleteWithMissing(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Removes all instances with missing values for a particular attribute from the dataset.
deleteWithMissingClass() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Removes all instances with a missing class value from the dataset.
delRange(int, Instances, int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Deletes all instances in given range from given bag.
description() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Option: Returns the option's description.
desirableOutcomes - Variable in class org.processmining.prediction.Predictor
df - Variable in class org.processmining.prediction.Predictor
dfsPruning(Pattern, Trie, boolean, Map<Integer, Map<Integer, Integer>>, Map<Integer, Map<Integer, Integer>>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.FrequentPatternEnumeration_ClaSP: Execution of the search of frequent patterns.
disc - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
disc - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
disc - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
discAttributeSelection(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: used to find the discrimnatory attribut from the inout dataset
discCalculation(Instance, Double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
discCalculation(Instances) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
discCond - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
DiscForCV(int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
discModel - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45ModelSelection
DISCRETE - org.processmining.prediction.PredictionType
DiscretizationInterval - Class in org.processmining.prediction
DiscretizationInterval(Double, Double) - Constructor for class org.processmining.prediction.DiscretizationInterval
DiscretizationInterval(Double, Double, boolean) - Constructor for class org.processmining.prediction.DiscretizationInterval
DiscretizationPanel - Class in org.processmining.prediction
DiscretizationPanel(DecisionTreePanel, DiscretizationInterval[], int, DiscrMethod) - Constructor for class org.processmining.prediction.DiscretizationPanel
discrimination - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
Discrimination - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree
Discrimination() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
discriminationInData(Instances) - Method in class org.processmining.prediction.EvaluationNDC
discriminationInfo(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
discriminationInfo(Instances, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: gives the information about the discrimination by classifier input : instances, the data set output : [0][0] number of favorable accepted by classifier [0][1] total number of favorable in data set [1][0] number of protected accepted by classifier [1][1] total number of protected in data set
DiscrMethod - Enum in org.processmining.prediction
display(String, String) - Method in class org.processmining.prediction.PrefuseTreeVisualization: Displays the graph.
display(String, String, Map<String, Color>, HashMap<String, PredictionType>, PredictionType, VisConfigurables) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis
displayError(String) - Method in class org.processmining.prediction.PrefuseTreeVisualization: Displays the error.
distinctCount - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats: The number of distinct values
distribution() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Returns the distribution of class values induced by the model.
Distribution - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for handling a distribution of class values.
Distribution(double[][]) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Creates and initializes a new distribution using the given array.
Distribution(int, int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Creates and initializes a new distribution.
Distribution(Distribution) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Creates distribution with only one bag by merging all bags of given distribution.
Distribution(Distribution, int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Creates distribution with two bags by merging all bags apart of the indicated one.
Distribution(Instances) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Creates a distribution with only one bag according to instances in source.
Distribution(Instances, ClassifierSplitModel) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Creates a distribution according to given instances and split model.
distributionForInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Predicts the class memberships for a given instance.
distributionForInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Returns class probabilities for a weighted instance.
DO_NOTHING - Static variable in class org.processmining.prediction.RelativeLayout
doChangeLeafLabels(Set<Integer>) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree
doDistributionForInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier
doDistributionForInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
doDistributionForInstance(Instance, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree
doEvaluate() - Method in class org.processmining.prediction.EvaluationNDC
doEvaluateModelOnce(Classifier, Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation
doRelabel(Map<Double, Double[]>, Double[][], int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree
doRemoveUselessNodes(Map<Double, Double[]>, Double[][]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree
doTraceAugmentations(XTrace, LinkedList<Augmentation>, Map<String, Object>) - Method in class org.processmining.prediction.Predictor: it applies the trace augmentations on the given trace
DottyToTree() - Constructor for class org.processmining.prediction.PrefuseTreeVisualization.DottyToTree
doubleToString(double, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Rounds a double and converts it into String.
doubleToString(double, int, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Rounds a double and converts it into a formatted decimal-justified String.
doUpdate(String, Map<String, Object>) - Method in class org.processmining.prediction.Predictor: This function updates the literalValueNDc and typesNDC according to the new instance.
Drawable - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface to something that can be drawn as a graph.
driveSub_modelPaces() - Method in class org.processmining.prediction.Augmentation.sub_model_duration
dumpDistribution() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Prints distribution.
dumpLabel(int, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Prints label for subset index of instances (eg class).
dumpModel(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Prints the split model.
DurationOfActivity - Class in org.processmining.prediction.Augmentation
DurationOfActivity(Petrinet) - Constructor for class org.processmining.prediction.Augmentation.DurationOfActivity

E

Edge - Class in org.processmining.prediction.NewTreeVisualizer: This class is used in conjunction with the Node class to form a tree structure.
Edge(String, String, String) - Constructor for class org.processmining.prediction.NewTreeVisualizer.Edge: This constructs an Edge with the specified label and parent , child serial tags.
eigenvalueDecomposition(double[][], double[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Performs Eigenvalue Decomposition using Householder QR Factorization Matrix must be symmetrical.
ElapsedTime - Class in org.processmining.prediction.Augmentation
ElapsedTime() - Constructor for class org.processmining.prediction.Augmentation.ElapsedTime
elementAt(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Returns the element at the given position.
elements() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Returns an enumeration of this vector.
elements(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Returns an enumeration of this vector, skipping the element with the given index.
empty() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Checks if queue is empty.
enrichTraceWithORChoices(XTrace, SyncReplayResult, int) - Method in class org.processmining.prediction.ORplaces
EntropyBasedSplitCrit - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: "Abstract" class for computing splitting criteria based on the entropy of a class distribution.
EntropyBasedSplitCrit() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.EntropyBasedSplitCrit
enumerateAttributes() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns an enumeration of all the attributes.
enumerateAttributes() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns an enumeration of all the attributes.
enumerateInstances() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns an enumeration of all instances in the dataset.
enumerateMeasures() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AdditionalMeasureProducer: Returns an enumeration of the measure names.
enumerateMeasures() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns an enumeration of the additional measure names
enumerateValues() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns an enumeration of all the attribute's values if the attribute is nominal or a string, null otherwise.
epsilon - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging
epsilonTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
eq(double, double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Tests if a is equal to b.
EQUAL - Static variable in class org.processmining.prediction.RelativeLayout
EQUAL_FREQUENCY - org.processmining.prediction.DiscrMethod
EQUAL_WIDTH - org.processmining.prediction.DiscrMethod
equalHeaders(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Tests if the headers of two instances are equivalent.
equalHeaders(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Checks if two headers are equivalent.
equals(Object) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Generic
equals(Object) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Qualitative
equals(Object) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Item: Check if this item is equal to another (if their identifier also are).
equals(Object) - Method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPair
equals(Object) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern
equals(Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Tests if given attribute is equal to this attribute.
equals(Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Tests whether the current evaluation object is equal to another evaluation object
equals(Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SelectedTag: Returns true if this SelectedTag equals another object
equals(Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SerializedObject
errms(StreamTokenizer, String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ConverterUtils: Throws error message with line number and last token read.
errms(StreamTokenizer, String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Throws error message with line number and last token read.
errorRate() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the estimated error rate or the root mean squared error (if the class is numeric).
errors - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
errors - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
Estimator - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface for probability estimators.
evaluate(J48WithNDCs, J48WithNDCs, Instances) - Method in class org.processmining.prediction.EvaluationNDC
evaluateModel(String, String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Evaluates a classifier with the options given in an array of strings.
evaluateModel(Classifier, String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Evaluates a classifier with the options given in an array of strings.
evaluateModel(Classifier, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Evaluates the classifier on a given set of instances.
evaluateModelOnce(double[], Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Evaluates the supplied distribution on a single instance.
evaluateModelOnce(double, Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Evaluates the supplied prediction on a single instance.
evaluateModelOnce(Classifier, Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation
evaluateTrees() - Method in class org.processmining.prediction.TreeConstructor
Evaluation - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for evaluating machine learning models.
Evaluation(Instances) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Initializes all the counters for the evaluation.
Evaluation(Instances, CostMatrix) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Initializes all the counters for the evaluation and also takes a cost matrix as parameter.
EvaluationNDC - Class in org.processmining.prediction
EvaluationNDC(J48WithNDCs, J48WithNDCs, Instances, int) - Constructor for class org.processmining.prediction.EvaluationNDC
EventLevelAugmentation - Class in org.processmining.prediction.Augmentation
EventLevelAugmentation(String) - Constructor for class org.processmining.prediction.Augmentation.EventLevelAugmentation
EventLevelAugmentation(String, String) - Constructor for class org.processmining.prediction.Augmentation.EventLevelAugmentation
EventNumber - Class in org.processmining.prediction.Augmentation
EventNumber(boolean) - Constructor for class org.processmining.prediction.Augmentation.EventNumber
execute_CMClaSP(double, String, String) - Method in class org.processmining.plugins.workshop.Yaguang.ca.MainTestCMClaSP_saveToFile
execute_CMClaSPMemory(double, ArrayList<String>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.MainTestCMClaSP_saveToMemory
Executor - Class in org.processmining.prediction.Augmentation
Executor() - Constructor for class org.processmining.prediction.Augmentation.Executor
expectedCosts(double[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: Calculates the expected misclassification cost for each possible class value, given class probability estimates.
extractAttributeInformation(XLog) - Static method in class org.processmining.prediction.Predictor
ExtractLog - Class in org.processmining.prediction
ExtractLog() - Constructor for class org.processmining.prediction.ExtractLog

F

falseNegativeRate(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate the false negative rate with respect to a particular class.
falsePositiveRate(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate the false positive rate with respect to a particular class.
FastVector - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Implements a fast vector class without synchronized methods.
FastVector() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Constructs an empty vector with initial capacity zero.
FastVector(int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Constructs a vector with the given capacity.
FastVector.FastVectorEnumeration - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for enumerating the vector's elements.
FastVectorEnumeration(FastVector) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector.FastVectorEnumeration: Constructs an enumeration.
FastVectorEnumeration(FastVector, int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector.FastVectorEnumeration: Constructs an enumeration with a special element.
favCount - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: Discrimination relate38.04 d variables
favNeg - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: All the counts for sensitive attribute value for positve and negative classes.
favPos - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: Discrimination relate38.04 d variables
FILE_EXTENSION - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: The deafult file extension for cost matrix files
FILE_EXTENSION - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader
FILE_EXTENSION - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: The filename extension that should be used for arff files
FileSourcedConverter - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface to a loader/saver that loads/saves from a file source.
fileToPath(String) - Static method in class org.processmining.plugins.workshop.Yaguang.ca.MainTestCMClaSP_saveToFile
Filter - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: An abstract class for instance filters: objects that take instances as input, carry out some transformation on the instance and then output the instance.
Filter() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter
filterCheck(VisualItem) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewFocusControl
filterFile(Filter, String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Method for testing filters.
filterName - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
findItemPositionInPattern(Pattern, Item, Abstraction_Generic, Abstraction_Generic, Integer, Integer) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative: It searches for a position in the pattern given as parameter where an item, also given as a parameter, appears
finish() - Method in interface org.processmining.plugins.workshop.Yaguang.ca.Saver
finish() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoFile
finish() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoMemory
FIRST - Static variable in class org.processmining.prediction.RelativeLayout
firstElement() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Returns the first element of the vector.
firstInstance() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the first instance in the set.
firstSequenceExtensions - Variable in class org.processmining.plugins.workshop.Yaguang.ca.FrequentPatternEnumeration_ClaSP: Tin inserts:
Fitness - Class in org.processmining.prediction.Augmentation
Fitness(ResultReplay) - Constructor for class org.processmining.prediction.Augmentation.Fitness
fitToScreen() - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Fits the tree to the current screen size.
flushInput() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: This will remove all buffered instances from the inputformat dataset.
fMeasure(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate the F-Measure with respect to a particular class.
fontSize - Variable in class org.processmining.prediction.newPrefuseTreeVis.VisConfigurables
formatDate(double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute
forName(Class, String, String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Creates a new instance of an object given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Creates a new instance of a classifier given it's class name and (optional) arguments to pass to it's setOptions method.
fpCount - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
fpPos - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
FProbability(double, int, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics: Computes probability of F-ratio.
frequentAtomsTrie - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Trie root that starts with the empty pattern and from which we will be able to access to all the frequent patterns generated by ClaSP
FrequentAtomsTrie - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Trie root that starts with the empty pattern and from which we will be able to access to all the frequent patterns generated by ClaSP
frequentItems() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase: Get the equivalence classes associated with the frequent items that we have found.
FrequentPatternEnumeration_ClaSP - Class in org.processmining.plugins.workshop.Yaguang.ca: This is an implementation of the main method of ClaSP algorithm.
FrequentPatternEnumeration_ClaSP(AbstractionCreator, double, Saver, boolean, boolean) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.FrequentPatternEnumeration_ClaSP: Standard constructor
freshAttributeInfo() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Replaces the attribute information by a clone of itself.
ftn - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
ftp - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination

G

gainRatio() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Returns (C4.5-type) gain ratio for the generated split.
gainRatio() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Returns (C4.5-type) gain ratio for the generated split.
GainRatioSplitCrit - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for computing the gain ratio for a given distribution.
GainRatioSplitCrit() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.GainRatioSplitCrit
get(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Itemset: It returns the item from the specified position.
get(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It gets a particular itemset from the sequence
get_CLICheck() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getAbstraction() - Method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPair
getAccuracy() - Method in class org.processmining.prediction.EvaluationNDC
getAccuracyStd() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getActivities() - Method in class org.processmining.prediction.Predictor
getActivitiesToConsider() - Method in interface org.processmining.prediction.ActivitiesGrouper
getActivitiesToConsider() - Method in class org.processmining.prediction.ActivityPanel
getActivitiesToConsider() - Method in class org.processmining.prediction.Predictor
getAlignedPoint(Point2D, VisualItem, double, double, int, int) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewEdgeRenderer
getAlignment() - Method in class org.processmining.prediction.RelativeLayout: Gets the alignment of the components on the opposite axis.
getAllwholePathOptions() - Method in class org.processmining.prediction.Predictor
getAppearingIn() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It returns the list of sequence IDs where the pattern appears.
getAppearingIn() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It returns the list of sequences Ids where the pattern referred by the Trie appears.
getArrayClass(Class) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns the basic class of an array class (handles multi-dimensional arrays).
getArrayDimensions(Class) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns the dimensions of the given array.
getArrayDimensions(Object) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns the dimensions of the given array.
getAttributeIndices() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Get the current range selection.
getAttributeName() - Method in class org.processmining.prediction.Augmentation.Augmentation
getAttributes() - Method in class org.processmining.prediction.Predictor: returns the event attributes.
getAttributeValues(XAttribute) - Static method in class org.processmining.prediction.Augmentation.Augmentation
getAxis() - Method in class org.processmining.prediction.RelativeLayout: Gets the layout axis.
getBinarySplits() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Get the value of binarySplits.
getBinarySplits() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Get the value of binarySplits.
getBorderGap() - Method in class org.processmining.prediction.RelativeLayout: Gets the initial gap.
getBothTreeVisualization() - Method in class org.processmining.prediction.TreeConstructor
getCaIndex() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getcatchingPlacesOfOneTransition(Transition) - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
getcatchingPlacesOfOneTransition(Transition) - Method in class org.processmining.prediction.LogInfo
getCatchingTransitionsOfEachTransition() - Method in class org.processmining.prediction.LogInfo
getCaValues() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getCenter() - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get the value of center.
getChild() - Method in class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: It gets the Trie kept in the TrieNode
getChild(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It obtain its ith trie child
getChild(int) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get the Edge for the child number 'i'.
getClassifierTree() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
getColor() - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get the value of color.
getColor(String) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Processes the color string.
getColor(VisualItem) - Method in class org.processmining.prediction.newPrefuseTreeVis.TreePanel.NodeColorAction
getColor(VisualItem) - Method in class org.processmining.prediction.newPrefuseTreeVis.TreePanel.TextColorAction
getColor(VisualItem) - Method in class org.processmining.prediction.PrefuseTreeVisualization.TreePanel.NodeColorAction
getColors() - Static method in class org.processmining.prediction.VariablePanel
getColumn(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Gets a column of the matrix and returns it as a double array.
getCommand() - Method in class org.processmining.prediction.NewTreeVisualizer.TreeDisplayEvent
getComponent() - Method in class org.processmining.prediction.ActivityPanel
getComponent() - Method in class org.processmining.prediction.ConfigurationPanel
getComponent() - Method in class org.processmining.prediction.DiscretizationPanel
getComponent() - Method in class org.processmining.prediction.LogClusterPanel
getComponent() - Method in class org.processmining.prediction.Summary
getComponent() - Method in class org.processmining.prediction.VariablePanel
getCondDepForFold() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: Method to calculate conditional discrimination
getCondDisc(int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getConfidenceFactor() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Get the value of CF.
getConfidenceFactor() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Get the value of CF.
getConfidenceThreshold() - Method in class org.processmining.prediction.ConfigurationPanel
getConfigurationPanel() - Method in class org.processmining.prediction.DecisionTreePanel
getConstraints(Component) - Method in class org.processmining.prediction.RelativeLayout: Gets the constraints for the specified component.
getContext() - Method in class org.processmining.prediction.DecisionTreePanel
getCount(Node, int) - Static method in class org.processmining.prediction.NewTreeVisualizer.Node: Recursively finds the number of visible nodes there are (this may accidentally count some of the invis nodes).
getCVisible() - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get If this node's childs are visible.
getDataSet() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader
getDataSet() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: Return the full data set.
getDataSet() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Loader: Return the full data set.
getDateNow() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: Function to get the current date and time
getDC() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getDebug() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Get whether debugging is turned on.
getDefaultValueForParameter(int) - Method in class org.processmining.prediction.Augmentation.Augmentation
getDefaultValueForParameter(int) - Method in class org.processmining.prediction.Augmentation.NextActivity
getDefaultValueForParameter(int) - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
getDesignVersion() - Method in class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis: Get the specific version of Weka the class is designed for.
getDesignVersion() - Method in class org.processmining.prediction.PrefuseTreeVisualization: Get the specific version of Weka the class is designed for.
getDesirableOutcome() - Method in class org.processmining.prediction.Predictor
getDisc() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: It prints the resultant discrimination into weka this is called from following function and class public String toSummaryString(String title,boolean printComplexityStatistics) weka.classifiers.Evaluation.java
getDisc() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution
getDiscForTree() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
getDiscForTree() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
getDiscrimination() - Method in class org.processmining.prediction.EvaluationNDC: public void ev(Instances instances) throws Exception { double[][] result = new double[2][2]; double nsiData = 0; // numSensitiveInstancesIn dataset double nfiData = 0; double nasiFairTree = 0; // numAcceptedSensitiveInstancesFairTree double nafiFairTree = 0; // numAcceptedFavorabelInstancesInFairTree double nasiNormalTree = 0; // numAcceptedSensitiveInstancesNormalTree double nafiNormalTree = 0; // numAcceptedFavorabelInstancesInNormalTree double numCorrectPredictionFairTree = 0; double numCorrectPredictionNormalTree = 0; double correctnessFairTree = 0; double correctnessNormalTree = 0; for (int i = 0; i < dataset.numInstances() ; i++) { Instance inst = dataset.instance(i); int resultFair = (int) Math.round(fairTree.classifyInstance(inst)); int resultNormal = (int) Math.round(normalTree.classifyInstance(inst)); if (dataset.instance(i).stringValue(sensitiveAttributeIndex).equals("protected_value")) { nsiData++; if (resultFair == 0 ) { nasiFairTree++; } if (resultNormal == 0 ) { nasiNormalTree++; } } else { nfiData++; if (resultFair == 0 ) { nafiFairTree++; } if (resultNormal == 0 ) { nafiNormalTree++; } } } // System.out.println("ev disc fair :"+ ((nafiFairTree/nfiData)-(nasiFairTree/nsiData))); // System.out.println("ev disc normal :"+ ((nafiNormalTree/nfiData)-(nasiNormalTree/nsiData))); }
getElement(int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Returns the value of a cell in the matrix.
getElements() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It obtains the elements of the pattern
getepsilon() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
getEpsilon() - Method in class org.processmining.prediction.ConfigurationPanel
getEvaluation() - Method in class org.processmining.prediction.Predictor
getEvaluation() - Method in class org.processmining.prediction.TreeConstructor
getExpressionsAtLeaves() - Method in class org.processmining.prediction.J48Prediction
getExpressionsAtLeaves() - Method in interface org.processmining.prediction.Leafable
getFairAndNormalTreeVisualization() - Method in class org.processmining.prediction.Predictor
getFileDescription() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: Returns a description of the file type.
getFileDescription() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FileSourcedConverter: Get a one line description of the type of file
getFileExtension() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: Get the file extension used for arff files
getFileExtension() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FileSourcedConverter: Get the file extension used for this type of file
getFillGap() - Method in class org.processmining.prediction.RelativeLayout: Gets the fill gap amount.
getFinalSelectedAugmentations() - Method in class org.processmining.prediction.VariablePanel
getFirstToken(StreamTokenizer) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ConverterUtils: Gets token, skipping empty lines.
getFirstToken(StreamTokenizer) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Gets next token, skipping empty lines.
getFlag(char, String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Checks if the given array contains the flag "-Char".
getFlag(String, String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Checks if the given array contains the flag "-String".
getFontColor() - Method in class org.processmining.prediction.NewTreeVisualizer.Node
getFrequentAtomsTrie() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Get the trie (internal structure used by ClaSP).
getFrequentAtomsTrie() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Get the trie (internal structure used by ClaSP).
getFrequentClosedPatterns() - Method in class org.processmining.plugins.workshop.Yaguang.ca.FrequentPatternEnumeration_ClaSP
getFrequentItems() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase: Get the map that makes the matching between items and equivalence classes
getFrequentPatterns() - Method in class org.processmining.plugins.workshop.Yaguang.ca.FrequentPatternEnumeration_ClaSP: It returns the number of frequent patterns found by the last execution of the algorithm.
getGap() - Method in class org.processmining.prediction.RelativeLayout: Gets the gap between components.
getGCount(Node, int) - Static method in class org.processmining.prediction.NewTreeVisualizer.Node: Recursively finds the number of visible groups of siblings there are.
getHeight(Node, int) - Static method in class org.processmining.prediction.NewTreeVisualizer.Node: Recursively finds the number of visible levels there are.
getHeightInView() - Method in class org.processmining.prediction.ActivityPanel
getHeightInView() - Method in class org.processmining.prediction.ConfigurationPanel
getHeightInView() - Method in class org.processmining.prediction.DiscretizationPanel
getHeightInView() - Method in class org.processmining.prediction.LogClusterPanel
getHeightInView() - Method in class org.processmining.prediction.Summary
getHeightInView() - Method in class org.processmining.prediction.VariablePanel
getId() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Item: It gets the content of the item.
getId() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It returns the sequence ID
getID() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Tag: Gets the numeric ID of the Tag.
getID() - Method in class org.processmining.prediction.NewTreeVisualizer.TreeDisplayEvent
getIdList() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It gets the IdList of the pattern associated to the trie
getIndex(StreamTokenizer) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Gets index, checking for a premature and of line.
getInputFormat() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Gets the currently set inputformat instances.
getInputPlacesToTransition() - Method in class org.processmining.prediction.LogInfo
getInputStringIndex() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Returns an array containing the indices of all string attributes in the input format.
getInputTransitions(Place) - Method in class org.processmining.prediction.Augmentation.ORplaces
getInputTransitions(Place) - Method in class org.processmining.prediction.ORplaces
getinputTransitionsToPlaces() - Method in class org.processmining.prediction.LogInfo
getInstance() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative
getInstance() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.IdListCreatorStandard_Map: Get the static reference of the singleton IdList based on entries of arraylists.
getInstance() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPairCreator: Get the reference of the singleton creator object
getInstance() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.MemoryLogger: Method to obtain the only instance of this class
getInstance() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.PatternCreator
getInstance(StreamTokenizer, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Reads a single instance using the tokenizer and appends it to the dataset.
getInstanceFull(StreamTokenizer, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Reads a single instance using the tokenizer and appends it to the dataset.
getInstances() - Method in class org.processmining.prediction.NewTreeVisualizer.Node: This will return the Instances object related to this node.
getInstanceSetSize() - Method in class org.processmining.prediction.Predictor
getInstancesOfNDC() - Method in class org.processmining.prediction.Predictor
getInstanceSparse(StreamTokenizer, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Reads a single instance using the tokenizer and appends it to the dataset.
getInvert() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Gets whether the range sense is inverted, i.e.
getInvertSelection() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Get whether the supplied columns are to be removed or kept
getItem() - Method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPair
getItem(T) - Method in class org.processmining.plugins.workshop.Yaguang.ca.ItemFactory: Method which get an item from the pool.
getItemAbstractionPair(Item, Abstraction_Generic) - Method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPairCreator
getItemIndex() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Position
getItems() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Itemset: It returns the list of items that compose the itemset.
getItemsetIndex() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Position
getItemsets() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It gets the list of itemsets in this sequence
getIthElement(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It obtains the Ith element of the pattern
getL() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Returns the L part of the matrix.
getLabel() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree
getLabel() - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: Get the value of label.
getLabel() - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get the value of label.
getLastButOneElement() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It obtains the last but one element of the pattern
getLastLog() - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
getLastTimeWindow() - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
getLastToken(StreamTokenizer, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Gets token and checks if its end of line.
getLayoutAlignmentX(Container) - Method in class org.processmining.prediction.RelativeLayout: Returns the alignment along the x axis.
getLayoutAlignmentY(Container) - Method in class org.processmining.prediction.RelativeLayout: Returns the alignment along the y axis.
getLevel(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
getLevelCount() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
getLevels() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
getLine(int) - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: Returns line number n
getLine(int) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Returns the text String for the specfied line.
getLiteralValues(String) - Method in class org.processmining.prediction.Predictor
getLiteralValuesNDC() - Method in class org.processmining.prediction.Predictor
getLowerNumericBound() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns the lower bound of a numeric attribute.
getMatrix() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

returns the internal matrix
getMaxCost(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: Gets the maximum cost for a particular class value.
getMaxMemory() - Method in class org.processmining.plugins.workshop.Yaguang.ca.MemoryLogger: To get the maximum amount of memory used until now
getMaxTraceDuration() - Method in class org.processmining.prediction.Predictor
getMaxVersion() - Method in class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis: Get the maximum version of Weka, exclusive, the class is designed to work with.
getMaxVersion() - Method in class org.processmining.prediction.PrefuseTreeVisualization: Get the maximum version of Weka, exclusive, the class is designed to work with.
getMeasure(String) - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AdditionalMeasureProducer: Returns the value of the named measure
getMeasure(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the value of the named measure
getMeasure(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the value of the named measure
getMetadata() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns the properties supplied for this attribute.
getMinNumInstancePerLeaf() - Method in class org.processmining.prediction.ConfigurationPanel
getMinNumObj() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Get the value of minNumObj.
getMinNumObj() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Get the value of minNumObj.
getMinTraceDuration() - Method in class org.processmining.prediction.Predictor
getMinVersion() - Method in class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis: Get the minimum version of Weka, inclusive, the class is designed to work with.
getMinVersion() - Method in class org.processmining.prediction.PrefuseTreeVisualization: Get the minimum version of Weka, inclusive, the class is designed to work with.
getModel() - Method in class org.processmining.prediction.MyProMList
getModel() - Method in class org.processmining.prediction.Predictor
getName() - Method in class org.processmining.prediction.Augmentation.EventLevelAugmentation
getName() - Method in class org.processmining.prediction.Augmentation.OtherEventAttributes
getName() - Method in class org.processmining.prediction.DiscretizationInterval
getName(XAttributable) - Static method in class org.processmining.prediction.Predictor
getNDC() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getNDCtoDC() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
getNDCtoDC() - Method in class org.processmining.prediction.TreeConstructor
getNewTree(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree: Returns a newly created tree.
getNewTree(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Returns a newly created tree.
getNewTree(Instances, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Returns a newly created tree.
getNewTree(Instances, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree: Returns a newly created tree.
getNextInstance(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader
getNextInstance(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: CSVLoader is unable to process a data set incrementally.
getNextInstance(Instances) - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Loader: Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextToken(StreamTokenizer) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Gets next token, checking for a premature and of line.
getNode(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It gets the whole TrieNode of the ith child
getNodes() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It gets the list of nodes associated with the Trie
getNormalTreeVisualization() - Method in class org.processmining.prediction.Predictor
getNumberOfFrequentClosedPatterns() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP
getNumberOfFrequentClosedPatterns() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP
getNumberOfFrequentPatterns() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP
getNumberOfFrequentPatterns() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP
getNumChanges() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution
getNumFoldErrorPruning() - Method in class org.processmining.prediction.ConfigurationPanel
getNumFolds() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Get the value of numFolds.
getNumFolds() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Get the value of numFolds.
getNumInstances() - Method in class org.processmining.prediction.Predictor
getObject() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SerializedObject: Returns a serialized object.
getOption(char, String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Gets an option indicated by a flag "-Char" from the given array of strings.
getOption(String, String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Gets an option indicated by a flag "-String" from the given array of strings.
getOptions() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Gets the current settings of the Classifier.
getOptions() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Gets the current settings of the Classifier.
getOptions() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Gets the current settings of the Classifier.
getOptions() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.OptionHandler: Gets the current option settings for the OptionHandler.
getOptions() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Gets the current settings of the filter.
getOrientation() - Method in class org.processmining.prediction.newPrefuseTreeVis.TreePanel
getOrientation() - Method in class org.processmining.prediction.PrefuseTreeVisualization.TreePanel
getOriginalLog() - Method in class org.processmining.prediction.Predictor
getOriginalLogAttributes() - Method in class org.processmining.prediction.Predictor
getORPlaces() - Method in class org.processmining.prediction.Augmentation.ORplaces
getORPlaces() - Method in class org.processmining.prediction.ORplaces
getORPlaces(Collection<Place>) - Method in class org.processmining.prediction.Predictor
getOutputFormat() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Gets the format of the output instances.
getOutputLabelsORPlaces() - Method in class org.processmining.prediction.ORplaces
getOutputPlacesOfTransition() - Method in class org.processmining.prediction.LogInfo
getOutputStringIndex() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Returns an array containing the indices of all string attributes in the output format.
getOutputTransitions(Place) - Method in class org.processmining.prediction.Augmentation.ORplaces
getOutputTransitions(Place) - Method in class org.processmining.prediction.ORplaces
getOutputTransitionsOfPlaces() - Method in class org.processmining.prediction.LogInfo
getPair() - Method in class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: It gets the ItemAbstractionPair object kept in the TrieNode
getPair(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It gets the pair of the ith child
getPanelName() - Method in class org.processmining.prediction.ActivityPanel
getPanelName() - Method in class org.processmining.prediction.ConfigurationPanel
getPanelName() - Method in class org.processmining.prediction.DiscretizationPanel
getPanelName() - Method in class org.processmining.prediction.LogClusterPanel
getPanelName() - Method in class org.processmining.prediction.Summary
getPanelName() - Method in class org.processmining.prediction.VariablePanel
getParameterNames() - Method in class org.processmining.prediction.Augmentation.Augmentation
getParameterNames() - Method in class org.processmining.prediction.Augmentation.NextActivity
getParameterNames() - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
getParent(int) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get the parent edge.
getPatterns() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoMemory
getPenultimoComponente() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern
getPossibleValuesForParameter(int) - Method in class org.processmining.prediction.Augmentation.Augmentation
getPossibleValuesForParameter(int) - Method in class org.processmining.prediction.Augmentation.NextActivity
getPossibleValuesForParameter(int) - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
getPredictor() - Method in class org.processmining.prediction.DecisionTreePanel
getPrefuseTreeVisualization() - Method in class org.processmining.prediction.J48Prediction: Returns a JPanel containing a visualization of the weka J48 tree using prefusetrees
getPrefuseTreeVisualization() - Method in class org.processmining.prediction.Predictor
getPrefuseTreeVisualization() - Method in class org.processmining.prediction.RepTreePrediction
getProbability(double) - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Estimator: Get a probability estimate for a value.
getProbability(double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.KernelEstimator: Get a probability estimate for a value.
getRandomNumberGenerator(long) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns a random number generator.
getRanges() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Gets the string representing the selected range of values
getReachablePlacesOfOneTransition(Transition) - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
getReachablePlacesOfOneTransition(Transition) - Method in class org.processmining.prediction.LogInfo
getReachableTransitionsOfTransition() - Method in class org.processmining.prediction.LogInfo
getReadable() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Tag: Gets the string description of the Tag.
getRealAttNameIfChoice(String) - Method in class org.processmining.prediction.ConfigurationPanel
getRealAttNameIfChoice(String) - Method in class org.processmining.prediction.TreeConstructor
getReducedErrorPruning() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Get the value of reducedErrorPruning.
getReducedErrorPruning() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Get the value of reducedErrorPruning.
getRefer() - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get the value of refer.
getrelabel() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Get the value of Seed.
getResReplay() - Method in class org.processmining.prediction.Predictor
getRetrieval() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader: Gets the retrieval mode.
getRoot() - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get the value of root.
getRoundingPolicy() - Method in class org.processmining.prediction.RelativeLayout: Gets the rounding policy.
getRow(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Gets a row of the matrix and returns it as double array.
getRsource() - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: Get the value of rsource.
getRtarget() - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: Get the value of rtarget.
getRunningTime() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: It gets the time spent by the algoritm in its execution.
getRunningTime() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: It gets the time spent by the algoritm in its execution.
getSAA() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getSaAbsent() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier
getSaDep() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getSaFav() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getSaIndex() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getSaveInstanceData() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Check whether instance data is to be saved.
getSaveInstanceData() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Check whether instance data is to be saved.
getSeed() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Get the value of Seed.
getSeed() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Get the value of Seed.
getSelectedIndex() - Method in class org.processmining.prediction.MyProMList
getSelectedIndices() - Method in class org.processmining.prediction.MyProMList
getSelectedItems() - Method in class org.processmining.prediction.VariablePanel
getSelectedORplace() - Method in class org.processmining.prediction.Predictor
getSelectedTag() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SelectedTag: Gets the selected Tag.
getSelectedValues() - Method in class org.processmining.prediction.MyProMList
getSelectetSub_model() - Method in class org.processmining.prediction.Predictor
getSelection() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Gets an array containing all the selected values, in the order that they were selected (or ascending order if range inversion is on)
getSensitiveAttrebute() - Method in class org.processmining.prediction.Predictor
getSensitiveAttributeIndex() - Method in class org.processmining.prediction.Predictor
getSequencePositionsEntries() - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It gets the map that codes that appearances of the pattern in this IdList
getSequences() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase
getShape() - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get the value of shape.
getSource() - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: Get the value of source.
getsplitCriterion() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Gets the splitting criterion used.
getStdvDisc() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: it prints standard deviation of discrimination in to weka this is called from following function and class public String toSummaryString(String title,boolean printComplexityStatistics) weka.classifiers.Evaluation.java
getStdvDiscCond() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
getStringIndices(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Gets an array containing the indices of all string attributes.
getStructure() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader
getStructure() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Loader: Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getSubpattern(Pattern, int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative: It obtains the subpattern that is derived from removing from the given pattern ,the item specified in the position pointed out by the given index
getSubpattern(Pattern, int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator
getSubtreeRaising() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Get the value of subtreeRaising.
getSubtreeRaising() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Get the value of subtreeRaising.
getSumIdSequences() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It gets the sum of the sequence identifiers of the sequences where the pattern, referred by the Trie, appears
getSupport() - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IDList: Get the minimum relative support outlined by the IdList, i.e.
getSupport() - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map
getSupport() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern
getSupport() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It gets the support of the pattern referred by the Trie.
getTags() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SelectedTag: Gets the set of all valid Tags.
getTarget() - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: Get the value of target.
getText(VisualItem) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewEdgeRenderer
getTimeLength() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It returns the time length of the sequence, i.e.
getTimestamp() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Itemset
getTimeWindow() - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
getToken(StreamTokenizer) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ConverterUtils: Gets token.
getTop() - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get the value of top.
getTotalCount(Node, int) - Static method in class org.processmining.prediction.NewTreeVisualizer.Node: Recursively finds the total number of nodes there are.
getTotalElementsAfterPrefixes() - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IDList: It returns the number of elements that appears after each appearance of the pattern associated with the IdList
getTotalElementsAfterPrefixes() - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It returns the number of elements that appears after each appearance of the pattern associated with the IdList
getTotalGCount(Node, int) - Static method in class org.processmining.prediction.NewTreeVisualizer.Node: Recursively finds the total number of groups of siblings there are.
getTotalHeight(Node, int) - Static method in class org.processmining.prediction.NewTreeVisualizer.Node: Recursively finds the total number of levels there are.
getTraceAttributeNames() - Method in class org.processmining.prediction.Predictor
getTraceAttributesValues() - Method in class org.processmining.prediction.Predictor
getTraceAttributeValuesMap() - Method in class org.processmining.prediction.Predictor
getTraceDelayThreshold() - Method in class org.processmining.prediction.Predictor
getTreeConstructor() - Method in class org.processmining.prediction.Predictor
getTypes() - Method in class org.processmining.prediction.Predictor
getTypesNDC() - Method in class org.processmining.prediction.Predictor
getU() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Returns the U part of the matrix.
getUnpruned() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Get the value of unpruned.
getUnpruned() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Get the value of unpruned.
getUpperNumericBound() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns the upper bound of a numeric attribute.
getUseLaplace() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Get the value of useLaplace.
getUseLaplace() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Get the value of useLaplace.
getVariablePanel() - Method in class org.processmining.prediction.DecisionTreePanel
getVisible() - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Get the value of visible.
getVisualization() - Method in class org.processmining.prediction.J48Prediction
getVisualization() - Method in class org.processmining.prediction.RepTreePrediction
getVisualizeMenuItem(String, String) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis: Get a JMenu or JMenuItem which contain action listeners that perform the visualization of the tree in GraphViz's dotty format.
getVisualizeMenuItem(String, String) - Method in class org.processmining.prediction.PrefuseTreeVisualization: Get a JMenu or JMenuItem which contain action listeners that perform the visualization of the tree in GraphViz's dotty format.
getWidthInView() - Method in class org.processmining.prediction.ActivityPanel
getWidthInView() - Method in class org.processmining.prediction.ConfigurationPanel
getWidthInView() - Method in class org.processmining.prediction.DiscretizationPanel
getWidthInView() - Method in class org.processmining.prediction.LogClusterPanel
getWidthInView() - Method in class org.processmining.prediction.Summary
getWidthInView() - Method in class org.processmining.prediction.VariablePanel
globalInfo() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: Returns a string describing this attribute evaluator
globalInfo() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns a string describing classifier
globalInfo() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns a string describing classifier
globalInfo() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: Returns a string describing this classifier
globalInfo() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter: Returns a string describing this filter
globalInfo() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Returns a string describing this filter
gr(double, double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Tests if a is greater than b.
graph() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Returns graph describing the tree.
graph() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Drawable: Returns a string that describes a graph representing the object.
graph() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns graph describing the tree.
graph() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns graph describing the tree.
GraphMLParser - Class in org.processmining.prediction.newPrefuseTreeVis
GraphMLParser() - Constructor for class org.processmining.prediction.newPrefuseTreeVis.GraphMLParser
graphType() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Returns the type of graph this classifier represents.
graphType() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Drawable: Returns the type of graph representing the object.
graphType() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the type of graph this classifier represents.
graphType() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the type of graph this classifier represents.
grOrEq(double, double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Tests if a is greater or equal to b.
Group - Class in org.processmining.prediction.Augmentation
Group() - Constructor for class org.processmining.prediction.Augmentation.Group

H

handleCostOption(String, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Attempts to load a cost matrix.
hasEqualRelation() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Qualitative
hashCode() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Generic
hashCode() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Qualitative
hashCode() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Item
hashCode() - Method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPair
hashCode() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern
hashCode() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SerializedObject: Returns a hashcode for this object.
hasMissingValue() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Tests whether an instance has a missing value.
hasMoreElements() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector.FastVectorEnumeration: Tests if there are any more elements to enumerate.
hasZeropoint() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns whether the attribute has a zeropoint and may be added meaningfully.
hypot(double, double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Returns sqrt(a^2 + b^2) without under/overflow.

I

IDList - Interface in org.processmining.plugins.workshop.Yaguang.ca: Interface for a IdList class.
IdListCreator - Interface in org.processmining.plugins.workshop.Yaguang.ca: Interface for a IdList Creator.
IdListCreatorStandard_Map - Class in org.processmining.plugins.workshop.Yaguang.ca: Creator of a IdList based on a hashmap of arraylists.
IDListStandard_Map - Class in org.processmining.plugins.workshop.Yaguang.ca: Inspired in SPMF.
IDListStandard_Map() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: The standard constructor.
IDListStandard_Map(Map<Integer, List<Position>>) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It creates an IdList from a map of >
IGC - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
IGCDivideIGS - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
IGCMinusIGS - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
IGCPlusIGS - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
incompleteBeta(double, double, double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics: Returns the Incomplete Beta Function evaluated from zero to xx.
incorrect() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Gets the number of instances incorrectly classified (that is, for which an incorrect prediction was made).
increaseItemset(Pattern, Integer) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative: Increase a position to the first element position where it starts another itemset
increasePosition(Integer) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative: It increase the position of a given position by 1.
INCREMENTAL - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader
index() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns the index of this attribute.
index(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the index of the attribute stored at the given position.
index(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Returns the index of the attribute stored at the given position.
indexOf(Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Searches for the first occurence of the given argument, testing for equality using the equals method.
indexOfValue(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns the index of a given attribute value.
indicesToRangeList(int[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Creates a string representation of the indices in the supplied array.
info(int[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Computes entropy for an array of integers.
infoDiscriminationTree() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
infoErrorSensitive(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
infoErrorSensitive(Instances, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
infoGain() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Returns (C4.5-type) information gain for the generated split.
infoGain() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Returns (C4.5-type) information gain for the generated split.
InfoGainSplitCrit - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for computing the information gain for a given distribution.
InfoGainSplitCrit() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.InfoGainSplitCrit
init() - Method in class org.processmining.prediction.Predictor
init_param() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: After printing the results in Weka window, this function intitialize all the static variablle used to record discrimination.
initialize() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: Sets the cost of all correct classifications to 0, and all misclassifications to 1.
initialize() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Sets all counts to zero.
initialize() - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Performs some initialization.
initializeMaps(Map<Item, TrieNode>, Map<Item, Map<Integer, List<Integer>>>, Map<Integer, Integer>, Map<Integer, List<Integer>>) - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IdListCreator
initializeMaps(Map<Item, TrieNode>, Map<Item, Map<Integer, List<Integer>>>, Map<Integer, Integer>, Map<Integer, List<Integer>>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IdListCreatorStandard_Map
initParameters() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter
initTokenizer(StreamTokenizer) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Initializes the StreamTokenizer used for reading the ARFF file.
input(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Input an instance for filtering.
input(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter: Input an instance for filtering.
input(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Input an instance for filtering.
inputFormat(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Deprecated.
use setInputFormat(Instances) instead.
inputFormatPeek() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Returns a reference to the current input format without copying it.
insertAttributeAt(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Inserts an attribute at the given position (0 to numAttributes()).
insertAttributeAt(Attribute, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Inserts an attribute at the given position (0 to numAttributes()) and sets all values to be missing.
insertElementAt(Object, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Inserts an element at the given position.
instance(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the instance at the given position.
Instance - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for handling an instance.
Instance() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Private constructor for subclasses.
Instance(double, double[]) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Constructor that inititalizes instance variable with given values.
Instance(int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Constructor of an instance that sets weight to one, all values to be missing, and the reference to the dataset to null.
Instance(Instance) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Constructor that copies the attribute values and the weight from the given instance.
Instances - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for handling an ordered set of weighted instances.
Instances(Reader) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Reads an ARFF file from a reader, and assigns a weight of one to each instance.
Instances(Reader, int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Reads the header of an ARFF file from a reader and reserves space for the given number of instances.
Instances(String, FastVector, int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Creates an empty set of instances.
Instances(Instances) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Constructor copying all instances and references to the header information from the given set of instances.
Instances(Instances, int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Constructor creating an empty set of instances.
Instances(Instances, int, int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Creates a new set of instances by copying a subset of another set.
instancesAndWeights() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns string including all instances, their weights and their indices in the original dataset.
intCount - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats: The number of int-like values
invalidateLayout(Container) - Method in class org.processmining.prediction.RelativeLayout: Invalidates the layout, indicating that if the layout manager has cached information it should be discarded.
invertSelectionTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Returns the tip text for this property
isAlreadyExplored() - Method in class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: It answers to the question if the nodeTrie has already been traversed
isAveragable() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns whether the attribute can be averaged meaningfully.
isBigger(Object, Object) - Method in class org.processmining.prediction.AttributeSettingPanel
isBigger(Object, Object) - Method in class org.processmining.prediction.TreeConstructor
isChoicePlace(Place) - Method in class org.processmining.prediction.SelectionUtil
isDate() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Tests if the attribute is a date type.
isFill() - Method in class org.processmining.prediction.RelativeLayout: Gets the fill property for the component size on the opposite edge.
isInRange(double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Determines whether a value lies within the bounds of the attribute.
isInRange(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Gets whether the supplied cardinal number is included in the current range.
isLeaf() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree
isMapDBSelected() - Method in class org.processmining.prediction.VariablePanel
isMissing(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Tests if a specific value is "missing".
isMissing(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Tests if a specific value is "missing".
isMissing(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Tests if a specific value is "missing".
isMissingSparse(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Tests if a specific value is "missing".
isMissingValue(double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Tests if the given value codes "missing".
isNominal() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Test if the attribute is nominal.
isNormalVisualizationSelected() - Method in class org.processmining.prediction.ConfigurationPanel
isNumeric() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Tests if the attribute is numeric.
isOutputFormatDefined() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Returns whether the output format is ready to be collected
isPrefix(Pattern) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It informs us if this pattern is a prefix of the argument given pattern.
isRegressionTree() - Method in class org.processmining.prediction.ConfigurationPanel
isRegressionTree() - Method in class org.processmining.prediction.Predictor
isRegular() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns whether the attribute values are equally spaced.
isSecExtremeIncluded() - Method in class org.processmining.prediction.DiscretizationInterval
isStartEventPresent() - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
isString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Tests if the attribute is a string.
isSubpattern(AbstractionCreator, Pattern) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It answers if the current Pattern is a subpattern of another one given as parameter.
isSubpattern(Pattern, Pattern, int, List<Integer>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative: Method that check if for the two patterns given as parameters, the shortest one is a subpattern of the longest one
isSubpattern(Pattern, Pattern, int, List<Integer>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator
isSymmetric() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Returns true if the matrix is symmetric.
isTimeInterval() - Method in class org.processmining.prediction.Augmentation.ActivityDuration
isTimeInterval() - Method in class org.processmining.prediction.Augmentation.Augmentation
isTimeInterval() - Method in class org.processmining.prediction.Augmentation.ElapsedTime
isTimeInterval() - Method in class org.processmining.prediction.Augmentation.RemainingTime
isValidRange(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Determines if a string represents a valid index or simple range.
Item<T extends java.lang.Comparable> - Class in org.processmining.plugins.workshop.Yaguang.ca: Implementation of an item.
Item(T) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Item: General constructor.
ItemAbstractionPair - Class in org.processmining.plugins.workshop.Yaguang.ca: Class that represents a pair .
ItemAbstractionPair(Item, Abstraction_Generic) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPair
ItemAbstractionPairCreator - Class in org.processmining.plugins.workshop.Yaguang.ca: Class that implements a creator for pairs that are used in a pattern implementation.
itemClicked(VisualItem, MouseEvent) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewFocusControl
ItemFactory<T extends java.lang.Comparable> - Class in org.processmining.plugins.workshop.Yaguang.ca: Implementation of a pool of items.
ItemFactory() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.ItemFactory
Itemset - Class in org.processmining.plugins.workshop.Yaguang.ca: This class represents an itemset from a sequence.
Itemset() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Itemset: Standard Itemset constructor
itemStateChanged(ItemEvent) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Performs the action associated with the ItemEvent.

J

J48 - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for generating an unpruned or a pruned C4.5 decision tree.
J48() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48
J48Prediction - Class in org.processmining.prediction
J48Prediction(Map<String, Type>, Map<String, Set<String>>, Object[], String, int, HashSet<String>) - Constructor for class org.processmining.prediction.J48Prediction
J48Prediction(Map<String, Type>, Map<String, Set<String>>, Object[], String, int, HashSet<String>, boolean) - Constructor for class org.processmining.prediction.J48Prediction
J48WithNDCs - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for generating an unpruned or a pruned C4.5 decision tree.
J48WithNDCs() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
join(IDList, boolean, int) - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IDList: It return the intersection IdList that results from the current object and the IdList given as an argument.
join(IDList, boolean, int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It return the intersection IdList that results from the current object and the IdList given as an argument.
joinCount - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP
joinCount - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP
joinCount - Variable in class org.processmining.plugins.workshop.Yaguang.ca.FrequentPatternEnumeration_ClaSP
joinOptions(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Joins all the options in an option array into a single string, as might be used on the command line.

K

k_MarginResolution - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Resolution of the margin histogram
kappa() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns value of kappa statistic if class is nominal.
KBInformation() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Return the total Kononenko & Bratko Information score in bits
KBMeanInformation() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Return the Kononenko & Bratko Information score in bits per instance.
KBRelativeInformation() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Return the Kononenko & Bratko Relative Information score
KernelEstimator - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Simple kernel density estimator.
KernelEstimator(double) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.KernelEstimator: Constructor that takes a precision argument.
kthSmallestValue(double[], int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns the kth-smallest value in the array
kthSmallestValue(int[], int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns the kth-smallest value in the array.
kthSmallestValue(int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the kth-smallest attribute value of a numeric attribute.
kthSmallestValue(Attribute, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the kth-smallest attribute value of a numeric attribute.

L

LABEL - Static variable in class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis: the constant for "label".
LABEL - Static variable in class org.processmining.prediction.PrefuseTreeVisualization: the constant for "label".
laplaceProb(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns relative frequency of class over all bags with Laplace correction.
laplaceProb(int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns relative frequency of class for given bag.
LARGEST - Static variable in class org.processmining.prediction.RelativeLayout
LAST - Static variable in class org.processmining.prediction.RelativeLayout
lastElement() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Returns the last element of the vector.
lastInstance() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the last instance in the set.
layoutContainer(Container) - Method in class org.processmining.prediction.RelativeLayout: Lays out the specified container using this layout.
LEADING - Static variable in class org.processmining.prediction.RelativeLayout
Leafable - Interface in org.processmining.prediction
leafID - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
leafID - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
leafRank - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
leafRank - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
leafRanking() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
leftSide(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Prints left side of condition..
leftSide(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Prints left side of condition..
leftSide(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Prints left side of condition satisfied by instances.
leftSide(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NoSplit: Does nothing because no condition has to be satisfied.
length() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It returns the number of items that the sequence has
levels - Variable in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
levelSize() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It returns the number of children that a Trie has
levelSize_i() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie
listOptions() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Returns an enumeration describing the available options.
listOptions() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns an enumeration describing the available options.
listOptions() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns an enumeration describing the available options.
listOptions() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.OptionHandler: Returns an enumeration of all the available options..
listOptions() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Returns an enumeration describing the available options.
LITERAL - org.processmining.prediction.PredictionType
lnGamma(double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics: Returns natural logarithm of gamma function.
load(InputStream) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ProtectedProperties: Overrides a method to prevent the properties from being modified.
Loader - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface to something that can load Instances from an input source in some format.
loadFile(String, double) - Method in class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase: Method that load a database from a path file given as parameter
loadFile(ArrayList<String>, double) - Method in class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase
locateIndex(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Locates the greatest index that is not greater than the given index.
log2 - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.EntropyBasedSplitCrit: The log of 2.
log2 - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: The natural logarithm of 2.
log2(double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns the logarithm of a for base 2.
LogClusterListener - Class in org.processmining.prediction
LogClusterListener(JCheckBox, NiceIntegerSlider, PluginContext, Predictor) - Constructor for class org.processmining.prediction.LogClusterListener
LogClusterPanel - Class in org.processmining.prediction
LogClusterPanel(PluginContext, Predictor) - Constructor for class org.processmining.prediction.LogClusterPanel
logFunc(double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.EntropyBasedSplitCrit: Help method for computing entropy.
LogInfo - Class in org.processmining.prediction
LogInfo(Petrinet) - Constructor for class org.processmining.prediction.LogInfo
LOGPI - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
logs2probs(double[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Converts an array containing the natural logarithms of probabilities stored in a vector back into probabilities.
lowerNumericBoundIsOpen() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns whether the lower numeric bound of the attribute is open.
LUDecomposition() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Performs a LUDecomposition on the matrix.

M

m_Attributes - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: The attribute information.
m_AttValues - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: The instance's attribute values.
m_BackgroundColor - Variable in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: the background color.
m_box - Variable in class org.processmining.prediction.newPrefuseTreeVis.NewEdgeRenderer
m_ClassIndex - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: The class attribute's index
m_ClassIsNominal - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Is the class nominal or numeric?
m_ClassNames - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The names of the classes.
m_ClassPriors - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The prior probabilities of the classes
m_ClassPriorsSum - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The sum of counts for priors
m_col - Variable in class org.processmining.prediction.NewTreeVisualizer.NamedColor: The actual color object
m_cols - Variable in class org.processmining.prediction.NewTreeVisualizer.Colors: The array with all the colors input
m_ConfusionMatrix - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Array for storing the confusion matrix.
m_Contents - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue.QueueNode: The nodes contents
m_Correct - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The weight of all correctly classified instances.
m_CostMatrix - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The cost matrix (if given).
m_Counts - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
m_Counts - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: All the counts for nominal attributes.
m_Dataset - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: The dataset the instance has access to.
m_Debug - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Whether the classifier is run in debug mode.
m_Devs - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: The standard deviations for numeric attributes.
m_distribution - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Distribution of class values.
m_edgeRenderer - Variable in class org.processmining.prediction.newPrefuseTreeVis.NewEdgeRenderer
m_epsilon - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
m_ErrorEstimator - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Numeric class error estimator for scheme
m_File - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader
m_FirstBatchDone - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: True if the first batch has been done
m_FontColor - Variable in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: the font color.
m_Head - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Store a reference to the head of the queue
m_id - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: The id for the node.
m_ID - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Tag: The ID
m_Incorrect - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The weight of all incorrectly classified instances.
m_Indices - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: The index of the attribute associated with each stored value.
m_IndicesBuffer - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Buffer of indices for sparse instance
m_InputStringIndex - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Contains an index of string attributes in the input format that will survive the filtering process
m_Instances - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: The instances.
m_Instances - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: The instances used for training.
m_isChanged - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: indicate of the node is changed.
m_isDifferent - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree
m_isEmpty - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: True if node is empty.
m_isLeaf - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: True if node is leaf.
m_LineColor - Variable in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: the line color.
m_localModel - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Local model at node.
m_MarginCounts - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Cumulative margin distribution
m_Matrix - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

The actual matrix
m_Means - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: The means for numeric attributes.
m_MissingClass - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The weight of all instances that had no class assigned to them.
m_name - Variable in class org.processmining.prediction.NewTreeVisualizer.NamedColor: The name of the color
m_NewBatch - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Record whether the filter is at the start of a batch
m_Next - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue.QueueNode: The next node in the queue
m_NodeColor - Variable in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: the node color.
m_NoPriors - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: enables/disables the use of priors, e.g., if no training set is present in case of de-serialized schemes
m_NumAttributes - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: The maximum number of values that can be stored.
m_NumClasses - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The number of classes.
m_NumFolds - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The number of folds for a cross-validation.
m_numSubsets - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Number of created subsets.
m_NumTrainClassVals - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Number of non-missing class training instances seen
m_perBag - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Weight of instances per bag.
m_perClass - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Weight of instances per class.
m_perClassPerBag - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Weight of instances per class per bag.
m_PriorErrorEstimator - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Numeric class error estimator for prior
m_Priors - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
m_Priors - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: The prior probabilities of the classes.
m_Readable - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Tag: The descriptive text
m_relabel - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
m_RelationName - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: The dataset's name.
m_retrieval - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader: The current retrieval mode
m_sa - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution
m_SaAbsent - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier
m_SaRemove - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier
m_SelectCols - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Stores which columns to select as a funky range
m_Selected - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SelectedTag: The index of the selected tag
m_SelectedAttributes - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Stores the indexes of the selected attributes in order, once the dataset is seen
m_ShowBorder - Variable in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: whether to show the border or not.
m_Size - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Store the c m_Tail.m_Nexturrent number of elements in the queue
m_sons - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: References to sons.
m_sourceFile - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: Holds the source of the data set.
m_splitCriterion - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
m_structure - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: Holds the determined structure (header) of the data set.
m_SumAbsErr - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sum of absolute errors.
m_SumClass - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sum of class values.
m_SumClassPredicted - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sum of predicted * class values.
m_SumErr - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sum of errors.
m_SumKBInfo - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Total Kononenko & Bratko Information
m_SumPredicted - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sum of predicted values.
m_SumPriorAbsErr - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sum of absolute errors of the prior
m_SumPriorEntropy - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Total entropy of prior predictions
m_SumPriorSqrErr - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sum of absolute errors of the prior
m_SumSchemeEntropy - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Total entropy of scheme predictions
m_SumSqrClass - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sum of squared class values.
m_SumSqrErr - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sum of squared errors.
m_SumSqrPredicted - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sum of squared predicted values.
m_Tags - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SelectedTag: The set of tags to choose from
m_Tail - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Store a reference to the tail of the queue
m_test - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: The pruning instances.
m_toSelectModel - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: The model selection method.
m_TotalCost - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The total cost of predictions (includes instance weights)
m_train - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: The training instances.
m_TrainClassVals - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Array containing all numeric training class values seen
m_TrainClassWeights - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Array containing all numeric training class weights
m_Unclassified - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The weight of all unclassified instances.
m_ValueBuffer - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Buffer of values for sparse instance
m_Weight - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: The instance's weight.
m_WithClass - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The weight of all instances that had a class assigned to them.
m_ZoomBoxColor - Variable in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: the color of the zoombox.
m_ZoomBoxXORColor - Variable in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: the XOR color of the zoombox.
MACHEP - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics: Some constants
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.ca.MainTestCMClaSP_saveToFile
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.ca.MainTestCMClaSP_saveToMemory
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Simple main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: Main method.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: A test method for this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Main method for this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Main method for testing this class
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Main method for testing this class
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.KernelEstimator: Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter: Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics: Main method for testing this class.
main(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Main method for testing this class.
mainMethodEnd - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Start and End points in order to calculate the time taken by the main part of CloSpan algorithm
mainMethodEnd - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Start and End points in order to calculate the time taken by the main part of CloSpan algorithm
mainMethodStart - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Start and End points in order to calculate the time taken by the main part of CloSpan algorithm
mainMethodStart - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Start and End points in order to calculate the time taken by the main part of CloSpan algorithm
MainTestCMClaSP_saveToFile - Class in org.processmining.plugins.workshop.Yaguang.ca: Example of how to use the algorithm ClaSP, saving the results in a given file
MainTestCMClaSP_saveToFile() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.MainTestCMClaSP_saveToFile
MainTestCMClaSP_saveToMemory - Class in org.processmining.plugins.workshop.Yaguang.ca: Example of how to use the algorithm ClaSP, saving the results in the main memory
MainTestCMClaSP_saveToMemory() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.MainTestCMClaSP_saveToMemory
makeCopies(Classifier, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Creates a given number of deep copies of the given classifier using serialization.
makeCopy(Classifier) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Creates a deep copy of the given classifier using serialization.
makeDistribution(double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Convert a single prediction into a probability distribution with all zero probabilities except the predicted value which has probability 1.0;
makeOptionString(Classifier) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Make up the help string giving all the command line options
makePrediction(TaskForProgressBar) - Method in class org.processmining.prediction.Predictor
massagedInst - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: The data set after tapplying massaging
Massaging - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for building and using a Classyfing without Discriminating classifier.
Massaging() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging
Matchable - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface to something that can be matched with tree matching algorithms.
matrix() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns matrix with distribution of class values.
Matrix - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Deprecated.
Use instead weka.core.matrix.Matrix - only for backwards compatibility.
Matrix(double[][]) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Constructs a matrix using a given array.
Matrix(int, int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Constructs a matrix and initializes it with default values.
Matrix(Reader) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Reads a matrix from a reader.
maxBag() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns index of bag containing maximum number of instances.
maxClass() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns class with highest frequency over all bags.
maxClass(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns class with highest frequency for given bag.
MAXGAM - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
maximumLayoutSize(Container) - Method in class org.processmining.prediction.RelativeLayout: There is no maximum.
maxIndex(double[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns index of maximum element in a given array of doubles.
maxIndex(int[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns index of maximum element in a given array of integers.
MAXLOG - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
mean(double[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Computes the mean for an array of doubles.
meanAbsoluteError() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the mean absolute error.
meanOrMode(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the mean (mode) for a numeric (nominal) attribute as a floating-point value.
meanOrMode(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the mean (mode) for a numeric (nominal) attribute as a floating-point value.
meanPriorAbsoluteError() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the mean absolute error of the prior.
measureNumLeaves() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the number of leaves
measureNumLeaves() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the number of leaves
measureNumRules() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the number of rules (same as number of leaves)
measureNumRules() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the number of rules (same as number of leaves)
measureTreeSize() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the size of the tree
measureTreeSize() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the size of the tree
MemoryLogger - Class in org.processmining.plugins.workshop.Yaguang.ca: This class is used to record the maximum memory usaged of an algorithm during a given execution.
MemoryLogger() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.MemoryLogger
mergeInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Merges this instance with the given instance and returns the result.
mergeInstance(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Merges this instance with the given instance and returns the result.
mergeInstances(Instances, Instances) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Merges two sets of Instances together.
mergeWithTrie(TrieNode) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It merges a trie with another one, inserting the TrieNode given as parameter in the list of node associated with the current Trie.
mergeWithTrie_i(TrieNode) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie
MIN_SF_PROB - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: The minimum probablility accepted from an estimator to avoid taking log(0) in Sf calculations.
minimumLayoutSize(Container) - Method in class org.processmining.prediction.RelativeLayout: Determines the minimum size of the container argument using this column layout.
minIndex(double[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns index of minimum element in a given array of doubles.
minIndex(int[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns index of minimum element in a given array of integers.
MINLOG - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
minNumObjTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the tip text for this property
minNumObjTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
minsAndMaxs(Instances, double[][], int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Returns the minsAndMaxs of the index.th subset.
minSupAbsolute - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: The absolute minimum support threshold, i.e.
minSupAbsolute - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: The absolute minimum support threshold, i.e.
MISSING_VALUE - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Constant representing a missing value.
missingCount - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats: The number of missing values
missingValue() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the double that codes "missing".
ModelSelection - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Abstract class for model selection criteria.
ModelSelection() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ModelSelection
mouseClicked(MouseEvent) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Does nothing.
mouseDragged(MouseEvent) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Performs intermediate updates to what the user wishes to do.
mouseEntered(MouseEvent) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Does nothing.
mouseExited(MouseEvent) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Does nothing.
mouseMoved(MouseEvent) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Does nothing.
mousePressed(MouseEvent) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Determines what action the user wants to perform.
mouseReleased(MouseEvent) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Performs the final stages of what the user wants to perform.
MOVE_BOTH_NOK - Static variable in class org.processmining.prediction.Augmentation.AlignmentMove
MOVE_BOTH_OK - Static variable in class org.processmining.prediction.Augmentation.AlignmentMove
MOVE_LOG - Static variable in class org.processmining.prediction.Augmentation.AlignmentMove
MOVE_MODEL - Static variable in class org.processmining.prediction.Augmentation.AlignmentMove
mtn - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
mtp - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
multipleValuesForParameter(int) - Method in class org.processmining.prediction.Augmentation.Augmentation
multipleValuesForParameter(int) - Method in class org.processmining.prediction.Augmentation.NextActivity
multiply(Matrix) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Returns the multiplication of two matrices
myProgress(int) - Method in class org.processmining.prediction.TaskForProgressBar
MyProMList - Class in org.processmining.prediction
MyProMList(String) - Constructor for class org.processmining.prediction.MyProMList
MyProMList(String, ListModel) - Constructor for class org.processmining.prediction.MyProMList
MyTreeVisualizer - Class in org.processmining.prediction.NewTreeVisualizer
MyTreeVisualizer(TreeDisplayListener, String, NodePlace, Map<String, Color>, Map<String, PredictionType>, Character, float, PredictionType) - Constructor for class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Constructs Displayer to display a tree provided in a dot format.
MyTreeVisualizer(TreeDisplayListener, Node, NodePlace) - Constructor for class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Constructs Displayer with the specified Node as the top of the tree, and uses the NodePlacer to place the Nodes.

N

NaiveBayesSimple - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for building and using a simple Naive Bayes classifier.
NaiveBayesSimple() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple
name() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns the attribute's name.
name() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Option: Returns the option's name.
NamedColor - Class in org.processmining.prediction.NewTreeVisualizer: This class contains a color name and the rgb values of that color
NamedColor(String, int, int, int) - Constructor for class org.processmining.prediction.NewTreeVisualizer.NamedColor
ndc - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
ndcIndex - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
ndcIndex - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: To store a desired class(dc) index and Not desired class index(ndc) from weka.classifiers.discrimination.java
ndcIndex - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
NewDottyToTree - Class in org.processmining.prediction.newPrefuseTreeVis
NewDottyToTree() - Constructor for class org.processmining.prediction.newPrefuseTreeVis.NewDottyToTree
NewEdgeRenderer - Class in org.processmining.prediction.newPrefuseTreeVis
NewEdgeRenderer(int) - Constructor for class org.processmining.prediction.newPrefuseTreeVis.NewEdgeRenderer
newEnt(Distribution) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.EntropyBasedSplitCrit: Computes entropy of distribution after splitting.
NewFocusControl - Class in org.processmining.prediction.newPrefuseTreeVis: Prefuse focus control - on double click, adds / removes node and children to focus set.
NewFocusControl() - Constructor for class org.processmining.prediction.newPrefuseTreeVis.NewFocusControl
NewFocusControl(int) - Constructor for class org.processmining.prediction.newPrefuseTreeVis.NewFocusControl
NewFocusControl(int, String) - Constructor for class org.processmining.prediction.newPrefuseTreeVis.NewFocusControl
NewPrefuseTreeVis - Class in org.processmining.prediction.newPrefuseTreeVis
NewPrefuseTreeVis() - Constructor for class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis
NewTraceForMultipleChoices - Class in org.processmining.prediction.Augmentation
NewTraceForMultipleChoices(XTrace, String) - Constructor for class org.processmining.prediction.Augmentation.NewTraceForMultipleChoices
next() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue.QueueNode: Gets the next node in the queue.
next(Queue.QueueNode) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue.QueueNode: Sets the next node in the queue, and returns it.
NextActivity - Class in org.processmining.prediction.Augmentation
NextActivity(String[]) - Constructor for class org.processmining.prediction.Augmentation.NextActivity
nextElement() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector.FastVectorEnumeration: Returns the next element.
nextID() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Gets the next unique node ID.
NO_COMMAND - Static variable in class org.processmining.prediction.NewTreeVisualizer.TreeDisplayEvent
Node - Class in org.processmining.prediction.NewTreeVisualizer: This class records all the data about a particular node for displaying.
Node(String, String, int, int, Color, String, Color) - Constructor for class org.processmining.prediction.NewTreeVisualizer.Node: This will setup all the values of the node except for its top and center.
NodeColorAction(String) - Constructor for class org.processmining.prediction.PrefuseTreeVisualization.TreePanel.NodeColorAction
NodeColorAction(String, Map<String, Color>, BigDecimal, BigDecimal, Color[]) - Constructor for class org.processmining.prediction.newPrefuseTreeVis.TreePanel.NodeColorAction
NodePlace - Interface in org.processmining.prediction.NewTreeVisualizer: This is an interface for classes that wish to take a node structure and arrange them
NOMINAL - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constant set for nominal attributes.
nominalCounts - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats: Counts of each nominal value
NONE - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader: The retrieval modes
NORM_CONST - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: Constant for normal distribution.
normalDens(double, double, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: Density function of normal distribution.
normalInverse(double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics: Returns the value, x, for which the area under the Normal (Gaussian) probability density function (integrated from minus infinity to x) is equal to the argument y (assumes mean is zero, variance is one).
normalize() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: Normalizes the matrix so that the diagonal contains zeros.
normalize(double[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Normalizes the doubles in the array by their sum.
normalize(double[], double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Normalizes the doubles in the array using the given value.
normalProbability(double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics: Returns the area under the Normal (Gaussian) probability density function, integrated from minus infinity to x (assumes mean is zero, variance is one).
noSA - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45ModelSelection
NoSplit - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class implementing a "no-split"-split.
NoSplit(Distribution) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NoSplit: Creates "no-split"-split for given distribution.
NOT_DRAWABLE - Static variable in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Drawable
notAllowedChars - Static variable in class org.processmining.prediction.Augmentation.Augmentation
notAllowedChars - Static variable in class org.processmining.prediction.ConfigurationPanel
notAllowedChars - Static variable in class org.processmining.prediction.ORplaces
notAllowedChars - Static variable in class org.processmining.prediction.Predictor
notAllowedChars - Static variable in class org.processmining.prediction.TreeConstructor
nrDecimals - Variable in class org.processmining.prediction.newPrefuseTreeVis.VisConfigurables
nullLeaves - Variable in class org.processmining.prediction.newPrefuseTreeVis.VisConfigurables
num2ShortID(int, char[], int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Method for generating indices for the confusion matrix.
numArguments() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Option: Returns the option's number of arguments.
numAttributes() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the number of attributes.
numAttributes() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the number of attributes.
numAttributes() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Returns the number of attributes.
numBags() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns number of bags.
NumberExecution - Class in org.processmining.prediction.Augmentation
NumberExecution(String) - Constructor for class org.processmining.prediction.Augmentation.NumberExecution
numberOfFrequentSequences - Variable in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
numClasses() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns number of classes.
numClasses() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the number of class labels.
numClasses() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the number of class labels.
numColumns() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Returns the number of columns in the matrix.
numCorrect() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns perClass(maxClass()).
numCorrect(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns perClassPerBag(index,maxClass(index)).
numDistinctValues(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the number of distinct values of a given attribute.
numDistinctValues(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the number of distinct values of a given attribute.
NUMERIC - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constant set for numeric attributes.
numericStats - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats: Stats on numeric value distributions
numFalseNegatives(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate number of false negatives with respect to a particular class.
numFalsePositives(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate number of false positives with respect to a particular class.
numFoldsTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the tip text for this property
numFoldsTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
numIncorrect() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns total-numCorrect().
numIncorrect(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns perBag(index)-numCorrect(index).
numInstances() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Gets the number of test instances that had a known class value (actually the sum of the weights of test instances with known class value).
numInstances() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the number of instances in the dataset.
numLeaves() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Returns number of leaves in tree structure.
numNodes() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Returns number of nodes in tree structure.
numPendingOutput() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Returns the number of instances pending output
numRows() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Returns the number of rows in the matrix.
numSubsets() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Returns the number of created subsets for the split.
numTrueNegatives(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate the number of true negatives with respect to a particular class.
numTruePositives(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate the number of true positives with respect to a particular class.
numValues() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns the number of attribute values.
numValues() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the number of values present.
numValues() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Returns the number of values in the sparse vector.

O

o_FileName - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
oldEnt(Distribution) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.EntropyBasedSplitCrit: Computes entropy of distribution before splitting.
Option - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class to store information about an option.
Option(String, String, int, String) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Option: Creates new option with the given parameters.
OptionHandler - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface to something that understands options.
ordering() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns the ordering of the attribute.
ORDERING_MODULO - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constant set for modulo-ordered attributes.
ORDERING_ORDERED - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constant set for ordered attributes.
ORDERING_SYMBOLIC - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constant set for symbolic attributes.
org.processmining.plugins.workshop.Yaguang.ca - package org.processmining.plugins.workshop.Yaguang.ca
org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree - package org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree
org.processmining.prediction - package org.processmining.prediction
org.processmining.prediction.Augmentation - package org.processmining.prediction.Augmentation
org.processmining.prediction.newPrefuseTreeVis - package org.processmining.prediction.newPrefuseTreeVis
org.processmining.prediction.NewTreeVisualizer - package org.processmining.prediction.NewTreeVisualizer
OrientAction(int) - Constructor for class org.processmining.prediction.newPrefuseTreeVis.TreePanel.OrientAction
OrientAction(int) - Constructor for class org.processmining.prediction.PrefuseTreeVisualization.TreePanel.OrientAction
ORplaces - Class in org.processmining.prediction.Augmentation
ORplaces - Class in org.processmining.prediction
ORplaces(Petrinet) - Constructor for class org.processmining.prediction.Augmentation.ORplaces
ORplaces(Petrinet) - Constructor for class org.processmining.prediction.ORplaces
OtherEventAttributes - Class in org.processmining.prediction.Augmentation
OtherEventAttributes(String) - Constructor for class org.processmining.prediction.Augmentation.OtherEventAttributes
OtherEventAttributes(String, String) - Constructor for class org.processmining.prediction.Augmentation.OtherEventAttributes
outGoingTransitions(Place) - Method in class org.processmining.prediction.VariablePanel
output() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Output an instance after filtering and remove from the output queue.
outputFormat() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Deprecated.
use getOutputFormat() instead.
outputFormatPeek() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Returns a reference to the current output format without copying it.
outputPeek() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Output an instance after filtering but do not remove from the output queue.
outputValuesAsObjects - Variable in class org.processmining.prediction.Predictor
overallEnd - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Start and End points in order to calculate the overall time taken by the algorithm
overallEnd - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Start and End points in order to calculate the overall time taken by the algorithm
overallStart - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Start and End points in order to calculate the overall time taken by the algorithm
overallStart - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Start and End points in order to calculate the overall time taken by the algorithm

P

P0 - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics: COEFFICIENTS FOR METHOD normalInverse() *
P1 - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
P2 - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
padLeft(String, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Pads a string to a specified length, inserting spaces on the left as required.
padRight(String, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Pads a string to a specified length, inserting spaces on the right as required.
paintComponent(Graphics) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Updates the screen contents.
parse(String) - Method in class org.processmining.prediction.newPrefuseTreeVis.GraphMLParser: Parses the graph in GraphML and returns the built graph.
parse(String) - Method in class org.processmining.prediction.PrefuseTreeVisualization: Parses the graph in GraphML and returns the built graph.
parseDate(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute
parseMatlab(String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

creates a matrix from the given Matlab string.
partition(int, int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Partitions the instances around a pivot.
partitionOptions(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns the secondary set of options (if any) contained in the supplied options array.
Pattern - Class in org.processmining.plugins.workshop.Yaguang.ca: Implementation of pattern structure.
Pattern() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Pattern: Standard constructor
Pattern(List<ItemAbstractionPair>) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Pattern: New pattern from a list of pairs
Pattern(ItemAbstractionPair) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Pattern: New pattern from a single pair
PatternCreator - Class in org.processmining.plugins.workshop.Yaguang.ca: This class is the implementation of a creator of patterns.
pctCorrect() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Gets the percentage of instances correctly classified (that is, for which a correct prediction was made).
pctIncorrect() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Gets the percentage of instances incorrectly classified (that is, for which an incorrect prediction was made).
pctUnclassified() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Gets the percentage of instances not classified (that is, for which no prediction was made by the classifier).
peek() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Gets object from the front of the queue.
perBag(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns number of (possibly fractional) instances in given bag.
PERCENTAGE - org.processmining.prediction.PredictionType
perClass(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns number of (possibly fractional) instances of given class.
perClassPerBag(int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns number of (possibly fractional) instances of given class in given bag.
performPrediction(PluginContext, XLog) - Method in class org.processmining.prediction.ExtractLog
performPrediction(PluginContext, XLog, Petrinet, PNRepResult) - Method in class org.processmining.prediction.PredictionPlugin
performPrediction(PluginContext, XLog, Petrinet, PNRepResult, ResultReplay) - Method in class org.processmining.prediction.PredictionPlugin
pickMaxIdx(double[][]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree
place(Node) - Method in interface org.processmining.prediction.NewTreeVisualizer.NodePlace: The function to call to postion the tree that starts at Node r
place(Node) - Method in class org.processmining.prediction.NewTreeVisualizer.PlaceNode1: Call this function to have each node in the tree starting at 'r' placed in a visual (not logical, they already are) tree position.
place(Node) - Method in class org.processmining.prediction.NewTreeVisualizer.PlaceNode2: The Funtion to call to have the nodes arranged.
PlaceNode1 - Class in org.processmining.prediction.NewTreeVisualizer: This class will place the Nodes of a tree.
PlaceNode1() - Constructor for class org.processmining.prediction.NewTreeVisualizer.PlaceNode1
PlaceNode2 - Class in org.processmining.prediction.NewTreeVisualizer: This class will place the Nodes of a tree.
PlaceNode2() - Constructor for class org.processmining.prediction.NewTreeVisualizer.PlaceNode2
pop() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Pops an object from the front of the queue.
Position - Class in org.processmining.plugins.workshop.Yaguang.ca: This class represents a position of an item in a sequence.
Position(int, int) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Position: Standard constructor
postProcessingEnd - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Start and End points in order to calculate the time taken by the post-processing method of CloSpan algorithm
postProcessingEnd - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Start and End points in order to calculate the time taken by the post-processing method of CloSpan algorithm
postProcessingStart - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Start and End points in order to calculate the time taken by the post-processing method of CloSpan algorithm
postProcessingStart - Variable in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Start and End points in order to calculate the time taken by the post-processing method of CloSpan algorithm
PreAttributeValue - Class in org.processmining.prediction.Augmentation
PreAttributeValue(String) - Constructor for class org.processmining.prediction.Augmentation.PreAttributeValue
precision(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate the precision with respect to a particular class.
PredictionPlugin - Class in org.processmining.prediction
PredictionPlugin() - Constructor for class org.processmining.prediction.PredictionPlugin
PredictionType - Enum in org.processmining.prediction
Predictor - Class in org.processmining.prediction
Predictor(XLog, Petrinet, PNRepResult) - Constructor for class org.processmining.prediction.Predictor
Predictor(XLog, Petrinet, PNRepResult, ResultReplay) - Constructor for class org.processmining.prediction.Predictor
Predictor(XLog, ResultReplay) - Constructor for class org.processmining.prediction.Predictor
PredictorVisualizer - Class in org.processmining.prediction
PredictorVisualizer() - Constructor for class org.processmining.prediction.PredictorVisualizer
preferredLayoutSize(Container) - Method in class org.processmining.prediction.RelativeLayout: Determines the preferred size of the container argument using this column layout.
prefix() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Returns tree in prefix order.
prefix() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns tree in prefix order.
prefix() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns tree in prefix order.
prefix() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matchable: Returns a string that describes a tree representing the object in prefix order.
PrefrentialSamplingFilter - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree
PrefrentialSamplingFilter() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter
PrefuseTreeVisualization - Class in org.processmining.prediction: Displays a tree in GraphViz's dotty format as Prefuse tree.
PrefuseTreeVisualization() - Constructor for class org.processmining.prediction.PrefuseTreeVisualization
PrefuseTreeVisualization.DottyToTree - Class in org.processmining.prediction: Turns the GraphViz dotty format into Prefuse's tree XML format (according to the tree.dtd).
PrefuseTreeVisualization.TreePanel - Class in org.processmining.prediction: Displays a tree.
PrefuseTreeVisualization.TreePanel.AutoPanAction - Class in org.processmining.prediction
PrefuseTreeVisualization.TreePanel.NodeColorAction - Class in org.processmining.prediction
PrefuseTreeVisualization.TreePanel.OrientAction - Class in org.processmining.prediction
preorderTraversal(Pattern) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It makes a pre-order traversal from the Trie.
prepareResult(Instance, String, Double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
PreviousActivity - Class in org.processmining.prediction.Augmentation
PreviousActivity() - Constructor for class org.processmining.prediction.Augmentation.PreviousActivity
print() - Method in interface org.processmining.plugins.workshop.Yaguang.ca.Saver
print() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoFile
print() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoMemory
printClassifications(Classifier, Instances, String, int, Range) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Prints the predictions for the given dataset into a String variable.
printPlacesWithToken() - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
printResultDeviation() - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
printStatistics() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Method to show the outlined information about the search for frequent sequences by means of ClaSP algorithm
printStatistics() - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Method to show the outlined information about the search for frequent sequences by means of ClaSP algorithm
priorEntropy() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate the entropy of the prior distribution
prob(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns relative frequency of class over all bags.
prob(int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns relative frequency of class for given bag.
probRound(double, Random) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Rounds a double to the next nearest integer value in a probabilistic fashion (e.g.
PROPERTIES_FILE - Static variable in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: the props file.
propertyChange(PropertyChangeEvent) - Method in class org.processmining.prediction.TaskForProgressBar
ProtectedProperties - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Simple class that extends the Properties class so that the properties are unable to be modified.
ProtectedProperties(Properties) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ProtectedProperties: Creates a set of protected properties from a set of normal ones.
prune() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree: Prunes a tree using C4.5's pruning procedure.
prune() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree: Prunes a tree.
PruneableClassifierTree - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for handling a tree structure that can be pruned using a pruning set.
PruneableClassifierTree(ModelSelection, boolean, int, boolean, int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree: Constructor for pruneable tree structure.
prunedTree() - Method in class org.processmining.prediction.ConfigurationPanel
prunedTreeDisc - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
push(Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Appends an object to the back of the queue.
push(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Adds an output instance to the queue.
put(Object, Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ProtectedProperties: Overrides a method to prevent the properties from being modified.
putAll(Map) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ProtectedProperties: Overrides a method to prevent the properties from being modified.

Q

Q0 - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
Q1 - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
Q2 - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
Queue - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class representing a FIFO queue.
Queue() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue
Queue.QueueNode - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Represents one node in the queue.
QueueNode(Object) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue.QueueNode: Creates a queue node with the given contents
quickSort(int, int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Implements quicksort according to Manber's "Introduction to Algorithms".
quote(String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Quotes a string if it contains special characters.

R

randomize(Random) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Shuffles the instances in the set so that they are ordered randomly.
Range - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class representing a range of cardinal numbers.
Range() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Default constructor.
Range(String) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Constructor to set initial range.
rangeLower(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Translates a range into it's lower index.
rangeSingle(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Translates a single string selection into it's internal 0-based equivalent
rangeUpper(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Translates a range into it's upper index.
ranker(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: ranker method produces sorted promotion and demotion list for CND
rankerName - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
readHeader(StreamTokenizer) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Reads and stores header of an ARFF file.
readInstance(Reader) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Reads a single instance from the reader and appends it to the dataset.
readOldFormat(Reader) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: Loads a cost matrix in the old format from a reader.
readProperties(String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Reads properties that inherit from three locations.
readTillEOL(StreamTokenizer) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Reads and skips all tokens before next end of line token.
realCount - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats: The number of real-like values (i.e.
recall(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate the recall with respect to a particular class.
reducedErrorPruningTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the tip text for this property
reducedErrorPruningTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
regression(Matrix, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Performs a (ridged) linear regression.
regression(Matrix, double[], double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Performs a weighted (ridged) linear regression.
relabeling() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree: method to remove dependency by changing the labels of tree leaves.
relabelingTreeGlobally() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
relabelTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
relationName() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the relation's name.
relativeAbsoluteError() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the relative absolute error.
RelativeLayout - Class in org.processmining.prediction: The RelativeLayout class is a layout manager that lays out a container's components on the specified X or Y axis.
RelativeLayout() - Constructor for class org.processmining.prediction.RelativeLayout: Creates a relative layout with the components layed out on the X-Axis using the default gap
RelativeLayout(int) - Constructor for class org.processmining.prediction.RelativeLayout: Creates a relative layout with the components layed out on the specified axis using the default gap
RelativeLayout(int, int) - Constructor for class org.processmining.prediction.RelativeLayout: Creates a relative layout with the components layed out on the specified axis using the specfied gap
RemainingTime - Class in org.processmining.prediction.Augmentation
RemainingTime() - Constructor for class org.processmining.prediction.Augmentation.RemainingTime
remove(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It removes the specified itemset from the sequence
remove(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It removes the ith child of the Trie.
remove(int, int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It removes the specified item from the specified itemset in the sequence
remove(Object) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ProtectedProperties: Overrides a method to prevent the properties from being modified.
REMOVE_CHILDREN - Static variable in class org.processmining.prediction.NewTreeVisualizer.TreeDisplayEvent
removeAll() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It removes all its descendands tries and then the Trie itself.
removeAllElements() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Removes all components from this vector and sets its size to zero.
removeAllElements() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Removes all objects from the queue m_Tail.m_Next.
removeDisc() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
removeElementAt(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Deletes an element from this vector.
removeItem(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Itemset: It removes the item which appears in the specified index.
removeLayoutComponent(Component) - Method in class org.processmining.prediction.RelativeLayout: Removes the specified component from the layout.
removeListSelectionListener(ListSelectionListener) - Method in class org.processmining.prediction.MyProMList
removeMouseListener(MouseListener) - Method in class org.processmining.prediction.MyProMList
RemoveSAFilter - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: An instance filter that deletes a range of attributes from the dataset.
RemoveSAFilter() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Constructor so that we can initialize the Range variable properly.
removeSubstring(String, String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Removes all occurrences of a string from another string.
renameAttribute(int, String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Renames an attribute.
renameAttribute(Attribute, String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Renames an attribute.
renameAttributeValue(int, int, String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Renames the value of a nominal (or string) attribute value.
renameAttributeValue(Attribute, String, String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Renames the value of a nominal (or string) attribute value.
render(Graphics2D, VisualItem) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewEdgeRenderer
replaceMissingValues(double[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Replaces all missing values in the instance with the values contained in the given array.
replaceMissingValues(double[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Replaces all missing values in the instance with the values contained in the given array.
replaceNotAllowedStrings(String) - Method in class org.processmining.prediction.ConfigurationPanel
replaceNotAllowedStrings(String) - Method in class org.processmining.prediction.ORplaces
replaceNotAllowedStrings(String) - Method in class org.processmining.prediction.Predictor
replaceNotAllowedStrings(String) - Method in class org.processmining.prediction.TreeConstructor
replaceSubstring(String, String, String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Replaces with a new string, all occurrences of a string from another string.
replicateTraceByORPlace(XTrace, Place, SyncReplayResult) - Method in class org.processmining.prediction.Augmentation.ORplaces
RepTreePrediction - Class in org.processmining.prediction
RepTreePrediction(Map<String, Type>, Map<String, Set<String>>, String, String, int, Set<String>) - Constructor for class org.processmining.prediction.RepTreePrediction
resample(Random) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Creates a new dataset of the same size using random sampling with replacement.
resampleOutputAttribute(int, DiscrMethod) - Method in class org.processmining.prediction.DecisionTreePanel
resampleWithWeights(Random) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Creates a new dataset of the same size using random sampling with replacement according to the current instance weights.
resampleWithWeights(Random, double[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Creates a new dataset of the same size using random sampling with replacement according to the given weight vector.
reset() - Method in class org.processmining.plugins.workshop.Yaguang.ca.MemoryLogger: Reset the maximum amount of memory recorded.
reset() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader: Default implementation sets retrieval mode to NONE
reset() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: Resets the loader ready to read a new data set
reset() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Loader: Resets the Loader object ready to begin loading.
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.ActivityDuration
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.ActivityName
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.AlignmentMove
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.AttributeValue
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.Augmentation
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.Choice
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.ElapsedTime
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.EventLevelAugmentation
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.EventNumber
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.Executor
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.Fitness
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.Group
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.NextActivity
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.NumberExecution
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.OtherEventAttributes
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.PreAttributeValue
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.PreviousActivity
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.RemainingTime
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.Resource
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.ResourceWorkload
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.Role
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.Sub_Model_Attribute
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.SumAttributeValue
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.Timestamp
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.traceAttributeValue
reset(XTrace) - Method in class org.processmining.prediction.Augmentation.Whole_Trace_Attribute
resetDistribution(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Sets distribution associated with model.
resetDistribution(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Sets distribution associated with model.
resetDistribution(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Sets distribution associated with model.
resetID() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Resets the unique node ID counter (e.g.
resetQueue() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Clears the output queue.
Resource - Class in org.processmining.prediction.Augmentation
Resource() - Constructor for class org.processmining.prediction.Augmentation.Resource
ResourceWorkload - Class in org.processmining.prediction.Augmentation
ResourceWorkload(TotalResourceWorkload) - Constructor for class org.processmining.prediction.Augmentation.ResourceWorkload
result - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
retrieveFile() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: get the File specified as the source
retrieveFile() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FileSourcedConverter: Return the current source file/ destination file
returnAttribute(XEvent, String) - Method in class org.processmining.prediction.Augmentation.Augmentation
returnAttribute(XEvent, String) - Method in class org.processmining.prediction.Augmentation.Choice
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.ActivityDuration
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.ActivityName
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.AlignmentMove
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.AttributeValue
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.Augmentation
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.Choice
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.ElapsedTime
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.EventLevelAugmentation
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.EventNumber
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.Executor
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.Fitness
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.Group
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.NextActivity
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.NumberExecution
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.OtherEventAttributes
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.PreAttributeValue
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.PreviousActivity
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.RemainingTime
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.Resource
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.ResourceWorkload
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.Role
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.Sub_Model_Attribute
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.SumAttributeValue
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.Timestamp
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.traceAttributeValue
returnAttribute(XEvent, XTrace, String, Set<String>, long) - Method in class org.processmining.prediction.Augmentation.Whole_Trace_Attribute
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.ActivityDuration
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.AlignmentMove
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.AttributeValue
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.Choice
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.ElapsedTime
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.EventLevelAugmentation
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.EventNumber
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.Fitness
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.Group
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.NextActivity
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.NumberExecution
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.OtherEventAttributes
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.PreAttributeValue
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.PreviousActivity
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.RemainingTime
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.Resource
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.ResourceWorkload
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.Role
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.SumAttributeValue
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.Timestamp
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.traceAttributeValue
returnAttribute(XTrace, String) - Method in class org.processmining.prediction.Augmentation.Whole_Trace_Attribute
returnInstances() - Method in class org.processmining.prediction.J48Prediction
rightSide(int, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Prints the condition satisfied by instances in a subset.
rightSide(int, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Prints the condition satisfied by instances in a subset.
rightSide(int, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Prints left side of condition satisfied by instances in subset index.
rightSide(int, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NoSplit: Does nothing because no condition has to be satisfied.
Role - Class in org.processmining.prediction.Augmentation
Role() - Constructor for class org.processmining.prediction.Augmentation.Role
rootMeanPriorSquaredError() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the root mean prior squared error.
rootMeanSquaredError() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the root mean squared error.
rootRelativeSquaredError() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the root relative squared error if the class is numeric.
round(double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Rounds a double to the next nearest integer value.
roundDouble(double, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Rounds a double to the given number of decimal places.
run(double) - Method in class org.processmining.prediction.newPrefuseTreeVis.TreePanel.AutoPanAction
run(double) - Method in class org.processmining.prediction.PrefuseTreeVisualization.TreePanel.AutoPanAction
runAlgorithm(SequenceDatabase, boolean, boolean, String, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoClaSP: Actual call to ClaSP algorithm.
runAlgorithm(SequenceDatabase, boolean, boolean, String, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP: Actual call to ClaSP algorithm.
runAlgorithm_saver(SequenceDatabase, boolean, boolean, String, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AlgoCM_ClaSP

S

s_prune - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
sa - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
sa_Deprived - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
sa_Deprived - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter
sa_Favored - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
sa_Favored - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter
sa_Index - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
saAbsentTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier
saDepIndex - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
saDepIndex - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
saFavIndex - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
saFavIndex - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
saName - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
saNeg - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter: All the counts for sensitive attribute value for positve and negative classes.
sanitize(String) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewDottyToTree: Replaces certain characters with their character entities.
sanitize(String) - Method in class org.processmining.prediction.PrefuseTreeVisualization.DottyToTree: Replaces certain characters with their character entities.
saPos - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter: All the counts for sensitive attribute value for positve and negative classes.
saValue - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
savCount - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: Discrimination relate38.04 d variables
saveData() - Method in class org.processmining.prediction.ConfigurationPanel
saveInstanceDataTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the tip text for this property
saveInstanceDataTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
savePattern(Pattern) - Method in interface org.processmining.plugins.workshop.Yaguang.ca.Saver
savePattern(Pattern) - Method in class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoFile
savePattern(Pattern) - Method in class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoMemory
Saver - Interface in org.processmining.plugins.workshop.Yaguang.ca: This is the definition of a interface in order to decide where the user wants to keep the patterns.
saveResultsToFile() - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: Functions to save output for each test dorectly into file it is called from classifiers.Evaluation.java #find: change to display disc
saveResultsToFile(String, String, String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
saveResultsToFile(String, String, String, String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: functions to write Accuracy and discrimination directly into file It also writes std dev for acc and disc input disc, disc_stdDev, accuracy, acc_stdDev writes the output into a file with name "results" in the working directory it is called from classifiers.Evaluation.java #find: change to display disc
saveResultsToFile(String, String, String, String, String, String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
SaverIntoFile - Class in org.processmining.plugins.workshop.Yaguang.ca: This is an implementation of a class implementing the Saver interface.
SaverIntoFile(String, boolean) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoFile
SaverIntoMemory - Class in org.processmining.plugins.workshop.Yaguang.ca: This is an implementation of a class implementing the Saver interface.
SaverIntoMemory(boolean) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoMemory
SaverIntoMemory(String, boolean) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.SaverIntoMemory
savNeg - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter: All the counts for sensitive attribute value for positve and negative classes.
savPos - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination: Discrimination relate38.04 d variables
savPos - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: All the counts for sensitive attribute value for positve and negative classes.
savPos - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter: All the counts for sensitive attribute value for positve and negative classes.
sclear() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative
sclear() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map
sclear() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPairCreator
sclear() - Static method in class org.processmining.plugins.workshop.Yaguang.ca.PatternCreator
searchForFirstAppearance(Pattern, Integer, Item) - Method in class org.processmining.plugins.workshop.Yaguang.ca.AbstractionCreator_Qualitative: Method that search the first appearance of an item (given as parameter) in a pattern, starting from a beginning index
seedTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the tip text for this property
seedTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
select(int, int, int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Implements computation of the kth-smallest element according to Manber's "Introduction to Algorithms".
SelectedTag - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Represents a selected value from a finite set of values, where each value is a Tag (i.e.
SelectedTag(int, Tag[]) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SelectedTag: Creates a new SelectedTag instance.
SelectionUtil - Class in org.processmining.prediction
SelectionUtil(PluginContext, PetrinetGraph) - Constructor for class org.processmining.prediction.SelectionUtil
selectModel(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45ModelSelection: Selects C4.5-type split for the given dataset.
selectModel(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45ModelSelection
selectModel(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ModelSelection: Selects a model for the given dataset.
selectModel(Instances, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45ModelSelection: Selects C4.5-type split for the given dataset.
selectModel(Instances, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45ModelSelection: Selects C4.5-type split for the given dataset.
selectModel(Instances, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ModelSelection: Selects a model for the given train data using the given test data
SEND_INSTANCES - Static variable in class org.processmining.prediction.NewTreeVisualizer.TreeDisplayEvent: Command to remove instances from this node and send them to the VisualizePanel.
Sequence - Class in org.processmining.plugins.workshop.Yaguang.ca: Inspired in SPMF Implementation of a sequence.
Sequence(int) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Sequence: Standard constructor for a sequence
SequenceDatabase - Class in org.processmining.plugins.workshop.Yaguang.ca: Inspired in SPMF.
SequenceDatabase(AbstractionCreator, IdListCreator) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase: Standard constructor
Sequences - Class in org.processmining.plugins.workshop.Yaguang.ca: Inspired in SPMF This class implements a list of frequent sequence lists (or frequent pattern lists) that it is organized by levels.
Sequences(String) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Sequences
SERIALIZED_OBJ_FILE_EXTENSION - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: The filename extension that should be used for bin.
SerializedObject - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for storing an object in serialized form in memory.
SerializedObject(Object) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SerializedObject: Creates a new serialized object (without compression).
SerializedObject(Object, boolean) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SerializedObject: Creates a new serialized object.
set_CLICheck(boolean) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
set_O_FileName(String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
setActivitiesToConsider(Collection<String>) - Method in class org.processmining.prediction.Predictor
setActivityDuration(XTrace, SyncReplayResult) - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
setAlignment(float) - Method in class org.processmining.prediction.RelativeLayout
setAlreadyExplored(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: It updates the flag that indicates if the NodeTrie has already been traversed
setAppearingIn(BitSet) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: it set the list of sequence IDs where the pattern appears.
setAppearingIn(BitSet) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It updates the list of sequences Ids where the pattern referred by the Trie appears
setAppearingIn(Pattern) - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IDList: It moves to a pattern the sequences where the Idlist is active.
setAppearingIn(Pattern) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It moves to a pattern the sequences where the Idlist is active.
setAppearingIn(Trie) - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IDList: It moves to a Trie the sequences where the Idlist is active.
setAppearingIn(Trie) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It set in the Trie object, given as parameter, the sequence identifiers where the pattern associated with the IdList appears
setAttributeAugmentation(Augmentation[]) - Method in class org.processmining.prediction.ConfigurationPanel
setAttributeIndices(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Set which attributes are to be deleted (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Set which attributes are to be deleted (or kept if invert is true)
setAxis(int) - Method in class org.processmining.prediction.RelativeLayout: Sets the layout axis
setBinarySplit(boolean) - Method in class org.processmining.prediction.Predictor
setBinarySplit(boolean) - Method in class org.processmining.prediction.TreeConstructor
setBinarySplits(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Set the value of binarySplits.
setBinarySplits(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Set the value of binarySplits.
setBinarySplits(boolean) - Method in class org.processmining.prediction.TreeConstructor
setBorderGap(int) - Method in class org.processmining.prediction.RelativeLayout: Sets the initial gap.
setCaIndex(int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
setCapacity(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Sets the vector's capacity to the given value.
setCaValues(int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
setCenter(double) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Set the value of center.
setChild(int, Trie) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It set a child to the Trie given as parameter
setChild(Trie) - Method in class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: It updates the Trie component of the TrieNode by the Trie given as parameter
setChoiceOutputAttributePlace(String) - Method in class org.processmining.prediction.DecisionTreePanel
setChoiceOutputAttributePlace(String, Augmentation) - Method in class org.processmining.prediction.ConfigurationPanel
setClass(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Sets the class attribute.
setClassIndex(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Sets the class index of the set.
setClassMissing() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets the class value of an instance to be "missing".
setClassorSensitiveValue(String, Object, boolean) - Method in class org.processmining.prediction.TreeConstructor
setClassValue(double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets the class value of an instance to the given value (internal floating-point format).
setClassValue(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets the class value of an instance to the given value.
setColor(Color) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Set the value of color.
setColumn(int, double[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Sets a column of the matrix to the given column.
setConfidenceFactor(float) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Set the value of CF.
setConfidenceFactor(float) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Set the value of CF.
setConfidenceFactor(float) - Method in class org.processmining.prediction.TreeConstructor
setConfidenceThreshold(float) - Method in class org.processmining.prediction.Predictor
setCrossValidate(boolean) - Method in class org.processmining.prediction.TreeConstructor
setCVisible(boolean) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Sets all the children of this node either to visible or invisible
setDataset(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets the reference to the dataset.
setDC(int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
setDebug(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Set debugging mode.
setDependentAttName(String) - Method in class org.processmining.prediction.Predictor
setDepParameters(Instances) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
setDesairableOutcomes(Set<String>) - Method in class org.processmining.prediction.TreeConstructor
setDesirableOutcome(Collection<String>) - Method in class org.processmining.prediction.Predictor
setDiscParam(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
setDiscParam(Instances) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
setElement(int, int, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Sets an element of the matrix to the given value.
setElementAt(Object, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Sets the element at the given index.
setElements(List<ItemAbstractionPair>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: Setter method to set the elements of the pattern
setEnabled(boolean) - Method in class org.processmining.prediction.DecisionTreePanel
setepsilon(double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
setEpsilon(int) - Method in class org.processmining.prediction.Predictor
setEpsilon(int) - Method in class org.processmining.prediction.TreeConstructor
setEventTargetThreshold(int) - Method in class org.processmining.prediction.Predictor
setFile(File) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: sets the source File
setFile(File) - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FileSourcedConverter: Set the file to load from/ to save in
setFill(boolean) - Method in class org.processmining.prediction.RelativeLayout: Change size of relative components to fill the space available For X-AXIS aligned components the height will be filled.
setFillGap(int) - Method in class org.processmining.prediction.RelativeLayout: Specify the number of pixels by which the fill size is decreased when setFill(true) has been specified.
setFlags() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Sets the flags array.
setFromVarPanel(boolean) - Method in class org.processmining.prediction.ConfigurationPanel
setGap(int) - Method in class org.processmining.prediction.RelativeLayout: Sets the gap between components to the specified value.
setGoodOutcomes(String, boolean, boolean) - Method in class org.processmining.prediction.ConfigurationPanel
setHighlight(String) - Method in class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer: Set the highlight for the node with the given id
setID(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: Set the sequence id of this sequence
setIdList(IDList) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It updates the value of the IdList of the pattern associated to the trie
setIncomingPlaces() - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
setIncomingPlaces() - Method in class org.processmining.prediction.LogInfo
setIncommingTransitionsToPlaces() - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
setIncommingTransitionsToPlaces() - Method in class org.processmining.prediction.LogInfo
setInputFormat(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Sets the format of the input instances.
setInputFormat(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter: Sets the format of the input instances.
setInputFormat(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Sets the format of the input instances.
setInvert(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Sets whether the range sense is inverted, i.e.
setInvertSelection(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Set whether selected columns should be removed or kept.
setIsDifferent(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree
setItemIndex(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Position
setItemsetIndex(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Position
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.ActivityDuration
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.ActivityName
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.AlignmentMove
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.AttributeValue
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.Augmentation
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.Choice
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.ElapsedTime
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.EventLevelAugmentation
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.EventNumber
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.Executor
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.Fitness
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.Group
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.NextActivity
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.NumberExecution
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.OtherEventAttributes
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.PreAttributeValue
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.PreviousActivity
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.RemainingTime
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.Resource
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.ResourceWorkload
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.Role
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.Sub_Model_Attribute
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.SumAttributeValue
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.Timestamp
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.traceAttributeValue
setLog(XLog) - Method in class org.processmining.prediction.Augmentation.Whole_Trace_Attribute
setMinAndMax() - Method in class org.processmining.prediction.AttributeSettingPanel
setMinAndMax() - Method in class org.processmining.prediction.TreeConstructor
setMinNumInstancePerLeaf(double) - Method in class org.processmining.prediction.Predictor
setMinNumObj(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Set the value of minNumObj.
setMinNumObj(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Set the value of minNumObj.
setMinNumObj(int) - Method in class org.processmining.prediction.TreeConstructor
setMissing(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets a specific value to be "missing".
setMissing(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets a specific value to be "missing".
setName(String) - Method in class org.processmining.prediction.DiscretizationInterval
setNDCtoDC(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
setNDCtoDC(int) - Method in class org.processmining.prediction.Predictor
setNDCtoDC(int) - Method in class org.processmining.prediction.TreeConstructor
setNextTransitions() - Method in class org.processmining.prediction.Augmentation.sub_model_duration
setNode(int, TrieNode) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It updates the whole TrieNode of the ith child
setNodes(List<TrieNode>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It updates the list of nodes associated with the Trie
setNumericPriorsFromBuffer() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sets up the priors for numeric class attributes from the training class values that have been seen so far.
setNumFoldErrorPruning(int) - Method in class org.processmining.prediction.TreeConstructor
setNumFolds(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Set the value of numFolds.
setNumFolds(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Set the value of numFolds.
setNumFolds(int) - Method in class org.processmining.prediction.Predictor
setNumFolds(int) - Method in class org.processmining.prediction.TreeConstructor
setOptions(String[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier: Parses a given list of options.
setOptions(String[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Parses a given list of options.
setOptions(String[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Parses a given list of options.
setOptions(String[]) - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.OptionHandler: Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter: Parses a given list of options controlling the behaviour of this object.
setOrientation(int) - Method in class org.processmining.prediction.newPrefuseTreeVis.TreePanel
setOrientation(int) - Method in class org.processmining.prediction.PrefuseTreeVisualization.TreePanel
SetOriginalSequenceLengths(Map<Integer, Integer>) - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IDList: It sets the original lengths of the database sequences
SetOriginalSequenceLengths(Map<Integer, Integer>) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It sets the original lengths of the database sequences
setOutgoingPlaces() - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
setOutgoingPlaces() - Method in class org.processmining.prediction.LogInfo
setOutGoingTransitionsOfPlaces() - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
setOutGoingTransitionsOfPlaces() - Method in class org.processmining.prediction.LogInfo
setOutputAttribute(Augmentation) - Method in class org.processmining.prediction.ConfigurationPanel
setOutputAttribute(Augmentation) - Method in class org.processmining.prediction.DecisionTreePanel
setOutputAttribute(Augmentation, int, DiscrMethod, boolean) - Method in class org.processmining.prediction.Predictor
setOutputFormat(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Sets the format of output instances.
setPair(ItemAbstractionPair) - Method in class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: It updates the ItemAbstractionPair component of the TrieNode by the pair given as parameter
setPanel(boolean) - Method in class org.processmining.prediction.VariablePanel
setParameter(int, String[]) - Method in class org.processmining.prediction.Augmentation.Augmentation
setParameter(int, String[]) - Method in class org.processmining.prediction.Augmentation.NextActivity
setParameter(int, String[]) - Method in class org.processmining.prediction.Augmentation.TotalResourceWorkload
setParent(ScalableViewPanel) - Method in class org.processmining.prediction.ActivityPanel
setParent(ScalableViewPanel) - Method in class org.processmining.prediction.ConfigurationPanel
setParent(ScalableViewPanel) - Method in class org.processmining.prediction.DiscretizationPanel
setParent(ScalableViewPanel) - Method in class org.processmining.prediction.LogClusterPanel
setParent(ScalableViewPanel) - Method in class org.processmining.prediction.Summary
setParent(ScalableViewPanel) - Method in class org.processmining.prediction.VariablePanel
setParent(Edge) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Set the value of parent.
setPatronesFrecuentes(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.FrequentPatternEnumeration_ClaSP
setPriors(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Sets the class prior probabilities
setProperty(String, String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ProtectedProperties: Overrides a method to prevent the properties from being modified.
setProtectedValues(Collection) - Method in class org.processmining.prediction.Predictor
setProtectedValues(Set<String>) - Method in class org.processmining.prediction.TreeConstructor
setRanges(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Sets the ranges from a string representation.
setRanker(Classifier) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging
setReachableTransitionsOfeachTransition() - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
setReachableTransitionsOfeachTransition() - Method in class org.processmining.prediction.LogInfo
setReducedErrorPruning(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Set the value of reducedErrorPruning.
setReducedErrorPruning(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Set the value of reducedErrorPruning.
setRefer(String) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Set the value of refer.
setRegression(boolean) - Method in class org.processmining.prediction.Predictor
setRegressionTree(boolean) - Method in class org.processmining.prediction.DecisionTreePanel
setrelabel(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
setRelationName(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Sets the relation's name.
setRetrieval(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader: Sets the retrieval mode.
setRightEventSet() - Method in class org.processmining.prediction.Augmentation.NewTraceForMultipleChoices
setRoot(boolean) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Set the value of root.
setRoundingPolicy(int) - Method in class org.processmining.prediction.RelativeLayout: Specify the rounding policy to be used when all the avialable pixels have not been allocated to a component.
setRow(int, double[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Sets a row of the matrix to the given row.
setRsource(String) - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: Set the value of rsource.
setRtarget(String) - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: Set the value of rtarget.
setSAA(boolean) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
setSaAbsent(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier
setSaDep(String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
setSaFav(String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
setSaIndex(int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
setSaveData(boolean) - Method in class org.processmining.prediction.Predictor
setSaveInstanceData(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Set whether instance data is to be saved.
setSaveInstanceData(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Set whether instance data is to be saved.
setSaveInstanceData(boolean) - Method in class org.processmining.prediction.TreeConstructor
setScalableComponent(ScalableComponent) - Method in class org.processmining.prediction.ActivityPanel
setScalableComponent(ScalableComponent) - Method in class org.processmining.prediction.ConfigurationPanel
setScalableComponent(ScalableComponent) - Method in class org.processmining.prediction.DiscretizationPanel
setScalableComponent(ScalableComponent) - Method in class org.processmining.prediction.LogClusterPanel
setScalableComponent(ScalableComponent) - Method in class org.processmining.prediction.Summary
setScalableComponent(ScalableComponent) - Method in class org.processmining.prediction.VariablePanel
setSeed(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Set the value of Seed.
setSeed(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Set the value of Seed.
setSelectedIndex(int) - Method in class org.processmining.prediction.MyProMList
setSelectedIndices(int[]) - Method in class org.processmining.prediction.MyProMList
setSelectedORplaces(Set<Place>) - Method in class org.processmining.prediction.Predictor
setSelectetSub_model(Set<Transition>) - Method in class org.processmining.prediction.Predictor
setSelection(Iterable<Object>) - Method in class org.processmining.prediction.MyProMList
setSelection(Object...) - Method in class org.processmining.prediction.MyProMList
setSelectionMode(int) - Method in class org.processmining.prediction.MyProMList
setSensitivaAttributeName(String) - Method in class org.processmining.prediction.TreeConstructor
setSensitiveAttName(String) - Method in class org.processmining.prediction.ConfigurationPanel
setSensitiveAttrebutName(String) - Method in class org.processmining.prediction.Predictor
setSensitiveAttributeIndex(int) - Method in class org.processmining.prediction.Predictor
setSensitiveThreshold(int) - Method in class org.processmining.prediction.Predictor
setSensitiveThreshold(int) - Method in class org.processmining.prediction.TreeConstructor
setShape(int) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Set the value of shape.
setSource(File) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader: Default implementation throws an IOException.
setSource(File) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader: Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(File) - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Loader: Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(InputStream) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader: Default implementation throws an IOException.
setSource(InputStream) - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Loader: Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(Node) - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: Set the value of source.
setsplitCriterion(SelectedTag) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Sets the splitting criterion used.
setSplitPoint(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Sets split point to greatest value in given data smaller or equal to old split point.
setSplitPoint(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Sets split point to greatest value in given data smaller or equal to old split point.
setStartPlaces() - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
setStartPlaces() - Method in class org.processmining.prediction.LogInfo
setSubtreeRaising(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Set the value of subtreeRaising.
setSubtreeRaising(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Set the value of subtreeRaising.
setSumIdSequences(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It updates the sum of the sequence identifiers of the sequences where the pattern, referred by the Trie, appears
setSupport(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It updates the support of the pattern referred by the Trie
setTarget(Node) - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: Set the value of target.
setTargetActivityName(String) - Method in class org.processmining.prediction.Predictor
setTargetThreshold(int) - Method in class org.processmining.prediction.TreeConstructor
setTimestamp(long) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Itemset
setTop(double) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: Set the value of top.
setTotalElementsAfterPrefixes(int) - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IDList: It sets the number of elements that appears after each appearance of the pattern associated with the IdList
setTotalElementsAfterPrefixes(int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: It sets the number of elements that appears after each appearance of the pattern associated with the IdList
setTraceDelayThreshold(long) - Method in class org.processmining.prediction.Predictor
setTransitionsThatCanReachEachTransition() - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
setTransitionsThatCanReachEachTransition() - Method in class org.processmining.prediction.LogInfo
setTransitionstokenConsumption() - Method in class org.processmining.prediction.Augmentation.sub_model_duration
setTransitionstokenProduction() - Method in class org.processmining.prediction.Augmentation.sub_model_duration
setUnpruned(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Set the value of unpruned.
setUnpruned(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Set the value of unpruned.
setUnpruned(boolean) - Method in class org.processmining.prediction.TreeConstructor
setUnPruned(boolean) - Method in class org.processmining.prediction.Predictor
setUpper(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Sets the value of "last".
setUseLaplace(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Set the value of useLaplace.
setUseLaplace(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Set the value of useLaplace.
setValue(int, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets a specific value in the instance to the given value (internal floating-point format).
setValue(int, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Sets a specific value in the instance to the given value (internal floating-point format).
setValue(int, String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets a value of a nominal or string attribute to the given value.
setValue(Attribute, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets a specific value in the instance to the given value (internal floating-point format).
setValue(Attribute, String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets a value of an nominal or string attribute to the given value.
setValueSparse(int, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets a specific value in the instance to the given value (internal floating-point format).
setValueSparse(int, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Sets a specific value in the instance to the given value (internal floating-point format).
setWeight(double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Sets the weight of an instance.
SFEntropyGain() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the total SF, which is the null model entropy minus the scheme entropy.
SFMeanEntropyGain() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the SF per instance, which is the null model entropy minus the scheme entropy, per instance.
SFMeanPriorEntropy() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the entropy per instance for the null model
SFMeanSchemeEntropy() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the entropy per instance for the scheme
SFPriorEntropy() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the total entropy for the null model
SFSchemeEntropy() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Returns the total entropy for the scheme
shift(int, int, Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Shifts given instance from one bag to another one.
shiftRange(int, int, Instances, int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Shifts all instances in given range from one bag to another one.
showTree(Trie) - Static method in class org.processmining.plugins.workshop.Yaguang.ca.ShowTrie: Method to show the tree in a graphical way
ShowTrie - Class in org.processmining.plugins.workshop.Yaguang.ca: This class is used to display a trie visually using Swing if necessary.
ShowTrie() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.ShowTrie
size() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Itemset: It returns the number of items that compose the itemset.
size() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: It returns the number of items contained in the pattern
size() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: It returns the number of itemsets that the sequence has
size() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase
size() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
size() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix: Gets the size of the matrix.
size() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Returns the vector's current size.
size() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Gets queue's size.
sm(double, double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Tests if a is smaller than b.
SMALL - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: The small deviation allowed in double comparisons
smOrEq(double, double) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Tests if a is smaller or equal to b.
solve(double[]) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Solve A*X = B using backward substitution.
solver - package solver
Solver - Class in solver
Solver() - Constructor for class solver.Solver
sort() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
sort() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: It sorts the children by lexicographic order (given by their pair values)
sort(double[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
sort(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Sorts the instances based on an attribute.
sort(int[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Sorts a given array of integers in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
sort(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Sorts the instances based on an attribute.
sortedDemotionList - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: array for sorted demotion list
sortedPromotionList - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: array for sorted promotion list
sorting(double[][], int, int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: method to sort the 2-D arrays
Sourcable - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface for classifiers that can be converted to Java source.
sourceClass(int, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel
sourceExpression(int, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel
sourceExpression(int, Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NoSplit: Returns a string containing java source code equivalent to the test made at this node.
SparseInstance - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for storing an instance as a sparse vector.
SparseInstance() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance
SparseInstance(double, double[]) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Constructor that generates a sparse instance from the given parameters.
SparseInstance(double, double[], int[], int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Constructor that inititalizes instance variable with given values.
SparseInstance(int) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Constructor of an instance that sets weight to one, all values to be missing, and the reference to the dataset to null.
SparseInstance(Instance) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Constructor that generates a sparse instance from the given instance.
SparseInstance(SparseInstance) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Constructor that copies the info from the given instance.
spCount - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
split(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Splits the given set of instances into subsets.
SplitCriterion - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Abstract class for computing splitting criteria with respect to distributions of class values.
SplitCriterion() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SplitCriterion
splitCriterionTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
splitCritValue(Distribution) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.GainRatioSplitCrit: This method is a straightforward implementation of the gain ratio criterion for the given distribution.
splitCritValue(Distribution) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.InfoGainSplitCrit: This method is a straightforward implementation of the information gain criterion for the given distribution.
splitCritValue(Distribution) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SplitCriterion: Computes result of splitting criterion for given distribution.
splitCritValue(Distribution, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.InfoGainSplitCrit: This method computes the information gain in the same way C4.5 does.
splitCritValue(Distribution, double, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.GainRatioSplitCrit: This method computes the gain ratio in the same way C4.5 does.
splitCritValue(Distribution, double, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.InfoGainSplitCrit: This method computes the information gain in the same way C4.5 does.
splitCritValue(Distribution, Distribution) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SplitCriterion: Computes result of splitting criterion for given training and test distributions.
splitCritValue(Distribution, Distribution, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SplitCriterion: Computes result of splitting criterion for given training and test distributions and given number of classes.
splitCritValue(Distribution, Distribution, Distribution) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SplitCriterion: Computes result of splitting criterion for given training and test distributions and given default distribution.
splitEnt(Distribution) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.EntropyBasedSplitCrit: Computes entropy after splitting without considering the class values.
splitOptions(String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Split up a string containing options into an array of strings, one for each option.
spPos - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
SQRTH - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
SQTPI - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
stableSort(double[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
Statistics - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class implementing some distributions, tests, etc.
Statistics() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Statistics
Stats - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class implementing a statistical routine needed by J48 to compute its error estimate.
Stats() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Stats
stratify(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Stratifies a set of instances according to its class values if the class attribute is nominal (so that afterwards a stratified cross-validation can be performed).
stratStep(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Help function needed for stratification of set.
StreamableFilter - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface for filters can work with a stream of instances.
STRING - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Constant set for attributes with string values.
stringFreeStructure() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Create a copy of the structure, but "cleanse" string types (i.e.
stringSize(FontMetrics) - Method in class org.processmining.prediction.NewTreeVisualizer.Edge: This will calculate how large a rectangle using the FontMetrics passed that the lines of the label will take up
stringSize(FontMetrics) - Method in class org.processmining.prediction.NewTreeVisualizer.Node: This will return the width and height of the rectangle that the text will fit into.
stringValue(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the string value of a nominal, string, or date attribute for the instance.
stringValue(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the string value of a nominal, string, or date attribute for the instance.
sub(int, Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Subtracts given instance from given bag.
Sub_Model_Attribute - Class in org.processmining.prediction.Augmentation
Sub_Model_Attribute(String) - Constructor for class org.processmining.prediction.Augmentation.Sub_Model_Attribute
sub_model_duration - Class in org.processmining.prediction.Augmentation
sub_model_duration(Set<Transition>, XLog, Petrinet, PNRepResult) - Constructor for class org.processmining.prediction.Augmentation.sub_model_duration
sub_modelDurations() - Method in class org.processmining.prediction.Augmentation.sub_model_duration
subModelDurationInTrace(XTrace) - Method in class org.processmining.prediction.Predictor
subtract(Distribution) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Subtracts the given distribution from this one.
subtreeRaisingTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the tip text for this property
subtreeRaisingTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
sum(double[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Computes the sum of the elements of an array of doubles.
sum(int[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Computes the sum of the elements of an array of integers.
SumAttributeValue - Class in org.processmining.prediction.Augmentation
SumAttributeValue(String) - Constructor for class org.processmining.prediction.Augmentation.SumAttributeValue
Summarizable - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface to something that provides a short textual summary (as opposed to toString() which is usually a fairly complete description) of itself.
Summary - Class in org.processmining.prediction
Summary(EvaluationNDC) - Constructor for class org.processmining.prediction.Summary
sumOfWeights() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Computes the sum of all the instances' weights.
swap(int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Swaps two elements in the vector.
swap(int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Swaps two instances in the set.
synopsis() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Option: Returns the option's synopsis.

T

t_v_comb - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
Tag - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: A Tag simply associates a numeric ID with a String description.
Tag(int, String) - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Tag: Creates a new Tag instance.
TAGS_SPLITING - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs
targetActivityName - Variable in class org.processmining.prediction.Predictor
TaskForProgressBar - Class in org.processmining.prediction
TaskForProgressBar(Component, String, String, int, int) - Constructor for class org.processmining.prediction.TaskForProgressBar
TaskForProgressBar(String, String, int, int) - Constructor for class org.processmining.prediction.TaskForProgressBar
tc - Variable in class org.processmining.prediction.Predictor
test(String[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Method for testing this class.
testCV(int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Creates the test set for one fold of a cross-validation on the dataset.
testWithSA - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
TextColorAction(String, Map<String, Color>) - Constructor for class org.processmining.prediction.newPrefuseTreeVis.TreePanel.TextColorAction
TIMEINTERVAL - org.processmining.prediction.PredictionType
Timestamp - Class in org.processmining.prediction.Augmentation
Timestamp() - Constructor for class org.processmining.prediction.Augmentation.Timestamp
TIMESTAMP - org.processmining.prediction.PredictionType
TIMESTAMP_NAME - Static variable in class org.processmining.prediction.Augmentation.Timestamp
toArray() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Returns all the elements of this vector as an array
toClassDetailsString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Generates a breakdown of the accuracy for each class (with default title), incorporating various information-retrieval statistics, such as true/false positive rate, precision/recall/F-Measure.
toClassDetailsString(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Generates a breakdown of the accuracy for each class, incorporating various information-retrieval statistics, such as true/false positive rate, precision/recall/F-Measure.
toCumulativeMarginDistributionString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Output the cumulative margin distribution as a string suitable for input for gnuplot or similar package.
toDoubleArray() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the values of each attribute as an array of doubles.
toDoubleArray() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Returns the values of each attribute as an array of doubles.
toMatlab() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

converts the Matrix into a single line Matlab string: matrix is enclosed by parentheses, rows are separated by semicolon and single cells by blanks, e.g., [1 2; 3 4].
toMatrixString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calls toMatrixString() with a default title.
toMatrixString(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Outputs the performance statistics as a classification confusion matrix.
topLeaf - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
topLeaf - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
toSource(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Returns source code for the tree as an if-then statement.
toSource(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns tree as an if-then statement.
toSource(String) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns tree as an if-then statement.
toSource(String) - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Sourcable: Returns a string that describes the classifier as source.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Generic
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Qualitative: Get the string representation of this abstraction.
toString() - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IDList: Get the string representation of this IdList.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.IDListStandard_Map: Get a string representation of this IdList
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Item: Get the string representation of this item
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPair
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Itemset: Get the string representation of this itemset.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: Get the string representation of this pattern
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequence: Get the string representation of this sequence
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.SequenceDatabase: Get the string representation of this SequenceDatabase
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Trie: Get a string representation of this Trie
toString() - Method in class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: Get the string representation of this trie node.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns a description of this attribute in ARFF format.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats: Returns a human readable representation of this AttributeStats instance.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree: Prints tree structure.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the description of one instance.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Returns the dataset as a string in ARFF format.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns a description of the classifier.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns a description of the classifier.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.KernelEstimator: Display a representation of this estimator
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Converts a matrix to a string
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple: Returns a description of the classifier.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue: Produces textual description of queue.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range: Constructs a representation of the current range.
toString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Returns the description of one instance in sparse format.
toString() - Method in class org.processmining.prediction.Augmentation.Augmentation
toString() - Method in class org.processmining.prediction.DiscretizationInterval
toString() - Method in class org.processmining.prediction.RelativeLayout: Returns the string representation of this column layout's values.
toString(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the description of one value of the instance as a string.
toString(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the description of one value of the instance as a string.
toStringAccuracy() - Method in class org.processmining.prediction.EvaluationNDC
toStringDiscrimination() - Method in class org.processmining.prediction.EvaluationNDC
toStringToFile() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Generic
toStringToFile() - Method in class org.processmining.plugins.workshop.Yaguang.ca.Abstraction_Qualitative: Get the string representation of this object.
toStringToFile() - Method in class org.processmining.plugins.workshop.Yaguang.ca.ItemAbstractionPair: Get the string representation of this object for saving to file.
toStringToFile(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Pattern: Get the string representation of this pattern.
toStringToFile(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.ca.Sequences
toSummaryString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calls toSummaryString() with no title and no complexity stats
toSummaryString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Generates a string summarizing the set of instances.
toSummaryString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns a superconcise version of the model
toSummaryString() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns a superconcise version of the model
toSummaryString() - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Summarizable: Returns a string that summarizes the object.
toSummaryString(boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calls toSummaryString() with a default title.
toSummaryString(String, boolean) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Outputs the performance statistics in summary form.
total - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
total - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
total() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution: Returns total number of (possibly fractional) instances.
total_changes - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree
total_changes - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
totalChanges - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Massaging: To count the total number of changes in the train set by massaging
totalCost() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Gets the total cost, that is, the cost of each prediction times the weight of the instance, summed over all instances.
totalCount - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats: The total number of values (i.e.
totalFolds - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
TotalResourceWorkload - Class in org.processmining.prediction.Augmentation
TotalResourceWorkload() - Constructor for class org.processmining.prediction.Augmentation.TotalResourceWorkload
traceAttributeValue - Class in org.processmining.prediction.Augmentation
traceAttributeValue(String) - Constructor for class org.processmining.prediction.Augmentation.traceAttributeValue
TRAILING - Static variable in class org.processmining.prediction.RelativeLayout
trainCV(int, int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Creates the training set for one fold of a cross-validation on the dataset.
trainCV(int, int, Random) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Creates the training set for one fold of a cross-validation on the dataset.
trainInstsWithsa - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
trainSetName - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
transpose() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Returns the transpose of a matrix.
TREE - Static variable in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Drawable
TREE - Static variable in class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis: the constant for "tree".
TREE - Static variable in class org.processmining.prediction.PrefuseTreeVisualization: the constant for "tree".
TREE_EDGES - Static variable in class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis: the constant for "tree.edges".
TREE_EDGES - Static variable in class org.processmining.prediction.PrefuseTreeVisualization: the constant for "tree.edges".
TREE_NODES - Static variable in class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis: the constant for "tree.nodes".
TREE_NODES - Static variable in class org.processmining.prediction.PrefuseTreeVisualization: the constant for "tree.nodes".
TreeBuild - Class in org.processmining.prediction.NewTreeVisualizer: This class will parse a dotty file and construct a tree structure from it with Edge's and Node's
TreeBuild(Map<String, Color>, PredictionType) - Constructor for class org.processmining.prediction.NewTreeVisualizer.TreeBuild: Upon construction this will only setup the color table for quick reference of a color.
TreeConstructor - Class in org.processmining.prediction
TreeConstructor(String, Map<String, Type>, Map<String, Set<String>>, ArrayList<Map<String, Object>>, Map<Map<String, Object>, Integer>) - Constructor for class org.processmining.prediction.TreeConstructor
TreeDisplayEvent - Class in org.processmining.prediction.NewTreeVisualizer: An event containing the user selection from the tree display
TreeDisplayEvent(int, String) - Constructor for class org.processmining.prediction.NewTreeVisualizer.TreeDisplayEvent: Constructs an event with the specified command and what the command is applied to.
TreeDisplayListener - Interface in org.processmining.prediction.NewTreeVisualizer: Interface implemented by classes that wish to recieve user selection events from a tree displayer.
TreePanel - Class in org.processmining.prediction.newPrefuseTreeVis
TreePanel(Tree) - Constructor for class org.processmining.prediction.PrefuseTreeVisualization.TreePanel: Initializes the panel.
TreePanel(Tree, Map<String, Color>, VisConfigurables) - Constructor for class org.processmining.prediction.newPrefuseTreeVis.TreePanel: Initializes the panel.
TreePanel.AutoPanAction - Class in org.processmining.prediction.newPrefuseTreeVis
TreePanel.NodeColorAction - Class in org.processmining.prediction.newPrefuseTreeVis
TreePanel.OrientAction - Class in org.processmining.prediction.newPrefuseTreeVis
TreePanel.TextColorAction - Class in org.processmining.prediction.newPrefuseTreeVis
Trie - Class in org.processmining.plugins.workshop.Yaguang.ca: Class that implement a trie structure.
Trie() - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Trie: Standard constructor of a Trie.
Trie(List<TrieNode>) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Trie: Constructor of a Trie by means of a list of NodeTrie.
Trie(List<TrieNode>, IDList) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.Trie: Constructor of a Trie by means of a list of NodeTrie and the IdList of the pattern associated to the trie.
TrieNode - Class in org.processmining.plugins.workshop.Yaguang.ca: Class that implement a bucked for the nodes that are pointed by a Trie.
TrieNode(ItemAbstractionPair) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: Creation of a TrieNode by means of only the pair component
TrieNode(ItemAbstractionPair, Trie) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: Creation of a TrieNode by means of both pair and Trie components
TrieNode(ItemAbstractionPair, Trie, boolean) - Constructor for class org.processmining.plugins.workshop.Yaguang.ca.TrieNode: Creation of a TrieNode by means of both pair and Trie components and indicating if the node has already been traversed
trimToSize() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector: Sets the vector's capacity to its size.
trueNegativeRate(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate the true negative rate with respect to a particular class.
truePositiveRate(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Calculate the true positive rate with respect to a particular class.
type() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns the attribute's type as an integer.

U

UnassignedClassException - Exception in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Exception that is raised when trying to use some data that has no class assigned to it, but a class is needed to perform the operation.
UnassignedClassException() - Constructor for exception org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnassignedClassException: Creates a new UnassignedClassException with no message.
UnassignedClassException(String) - Constructor for exception org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnassignedClassException: Creates a new UnassignedClassException.
UnassignedDatasetException - Exception in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Exception that is raised when trying to use something that has no reference to a dataset, when one is required.
UnassignedDatasetException() - Constructor for exception org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnassignedDatasetException: Creates a new UnassignedDatasetException with no message.
UnassignedDatasetException(String) - Constructor for exception org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnassignedDatasetException: Creates a new UnassignedDatasetException.
unbackQuoteChars(String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: The inverse operation of backQuoteChars().
unclassified() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Gets the number of instances not classified (that is, for which no prediction was made by the classifier).
uniqueCount - Variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats: The number of values that only appear once
unprunedTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the tip text for this property
unprunedTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
unprunedTreeDisc - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree
UNSET - org.processmining.prediction.DiscrMethod
UnsupervisedFilter - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface for filters that do not need a class attribute.
UnsupportedAttributeTypeException - Exception in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Exception that is raised by an object that is unable to process some of the attribute types it has been passed.
UnsupportedAttributeTypeException() - Constructor for exception org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnsupportedAttributeTypeException: Creates a new UnsupportedAttributeTypeException with no message.
UnsupportedAttributeTypeException(String) - Constructor for exception org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnsupportedAttributeTypeException: Creates a new UnsupportedAttributeTypeException.
UnsupportedClassTypeException - Exception in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Exception that is raised by an object that is unable to process the class type of the data it has been passed.
UnsupportedClassTypeException() - Constructor for exception org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnsupportedClassTypeException: Creates a new UnsupportedClassTypeException with no message.
UnsupportedClassTypeException(String) - Constructor for exception org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnsupportedClassTypeException: Creates a new UnsupportedClassTypeException.
UpdateableClassifier - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface to incremental classification models that can learn using one instance at a time.
updateActiveTransitions() - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
updateClassifier(Instance) - Method in interface org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UpdateableClassifier: Updates a classifier using the given instance.
updated() - Method in class org.processmining.prediction.ActivityPanel
updated() - Method in class org.processmining.prediction.ConfigurationPanel
updated() - Method in class org.processmining.prediction.DiscretizationPanel
updated() - Method in class org.processmining.prediction.LogClusterPanel
updated() - Method in class org.processmining.prediction.Summary
updated() - Method in class org.processmining.prediction.VariablePanel
updateMargins(double[], int, double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Update the cumulative record of classification margins
updateNumericScores(double[], double[], double) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Update the numeric accuracy measures.
updatePlaceTokens(Transition) - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
updatePriors(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Updates the class prior probabilities (when incrementally training)
updateProjectionDistance(Map<Item, Map<Integer, List<Integer>>>, Item, int, int, int) - Method in interface org.processmining.plugins.workshop.Yaguang.ca.IdListCreator
updateProjectionDistance(Map<Item, Map<Integer, List<Integer>>>, Item, int, int, int) - Method in class org.processmining.plugins.workshop.Yaguang.ca.IdListCreatorStandard_Map
updateStatsForClassifier(double[], Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Updates all the statistics about a classifiers performance for the current test instance.
updateStatsForPredictor(double, Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Updates all the statistics about a predictors performance for the current test instance.
updateUnfinishedTransitions(Transition, XTrace, Integer, StepTypes) - Method in class org.processmining.prediction.Augmentation.DurationOfActivity
upperNumericBoundIsOpen() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns whether the upper numeric bound of the attribute is open.
useFilter(Instances, Filter) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter: Filters an entire set of instances through a filter and returns the new set.
useLaplaceTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48: Returns the tip text for this property
useLaplaceTipText() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs: Returns the tip text for this property
useNoPriors() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: disables the use of priors, e.g., in case of de-serialized schemes that have no access to the original training set, but are evaluated on a set set.
userCommand(TreeDisplayEvent) - Method in interface org.processmining.prediction.NewTreeVisualizer.TreeDisplayListener: Gets called when the user selects something, in the tree display.
Utils - Class in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class implementing some simple utility methods.
Utils() - Constructor for class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils

V

v - Static variable in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Discrimination
value(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns a value of a nominal or string attribute.
value(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns an instance's attribute value in internal format.
value(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance: Returns an instance's attribute value in internal format.
value(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns an instance's attribute value in internal format.
valueOf(String) - Static method in enum org.processmining.prediction.DiscrMethod: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.processmining.prediction.PredictionType: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.processmining.prediction.DiscrMethod: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.processmining.prediction.PredictionType: Returns an array containing the constants of this enum type, in the order they are declared.
valueSparse(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns an instance's attribute value in internal format.
VariablePanel - Class in org.processmining.prediction
VariablePanel(DecisionTreePanel, Collection<String>, Collection<String>, Collection<String>, ConfigurationPanel, ResultReplay, Map<String, Type>) - Constructor for class org.processmining.prediction.VariablePanel
variance(double[]) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Computes the variance for an array of doubles.
variance(int) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Computes the variance for a numeric attribute.
variance(Attribute) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances: Computes the variance for a numeric attribute.
VisConfigurables - Class in org.processmining.prediction.newPrefuseTreeVis
VisConfigurables() - Constructor for class org.processmining.prediction.newPrefuseTreeVis.VisConfigurables
VisConfigurables(Color, Boolean, int, int) - Constructor for class org.processmining.prediction.newPrefuseTreeVis.VisConfigurables
visualizeFairTree() - Method in class org.processmining.prediction.TreeConstructor: Evaluation evaluation = new Evaluation(testDataSet); for (int i = 0; i < testDataSet.numInstances() ; i++) { Instance inst = testDataSet.instance(i); double resultFair = evaluation.evaluateModelOnce(fairTree, inst); double resultNormal = evaluation.evaluateModelOnce(normalTree, inst); if (testDataSet.instance(i).stringValue(sensitiveAttributeIndex).equals("protected_value")) { nsiTestdata++; if (resultFair == 0 ) { nasiFairTree++; // i1++; // System.out.println("fair s a : " + i1 ); } if (resultNormal == 0 ) { nasiNormalTree++; // i2++; // System.out.println("normal s a : " + i2 ); } } else { if (resultFair == 0 ) { nafiFairTree++; // i3++; // System.out.println("fair f a : " + i3 ); } if (resultNormal == 0 ) { nafiNormalTree++; // i4++; // System.out.println("normal f a : " + i4 ); } } String instanceRealClass = testDataSet.instance(i).stringValue(testDataSet.classAttribute()); if ((resultFair == 0 && instanceRealClass.equals("Desirable_Class")) || resultFair == 1 && (instanceRealClass.equals("non_Desirable_Class"))) { numCorrectPredictionFairTree++; } if ((resultNormal == 0 && instanceRealClass.equals("Desirable_Class")) || (resultNormal == 1 && instanceRealClass.equals("non_Desirable_Class"))) { numCorrectPredictionNormalTree++; } accuracyFairTree = numCorrectPredictionFairTree / testDataSet.numInstances(); accuracyNormalTree = numCorrectPredictionNormalTree / testDataSet.numInstances(); } System.out.println("*********************"); System.out.println("testDataSet size : " + testDataSet.numInstances() ); System.out.println("nsiTestdata : " + nsiTestdata ); System.out.println("nasiFairTree : " + nasiFairTree ); System.out.println("nafiFairTree : " + nafiFairTree ); System.out.println("///////////////////"); System.out.println("nsiTestdata : " + nsiTestdata ); System.out.println("nasiNormalTree : " + nasiNormalTree ); System.out.println("nafiNormalTree : " + nafiNormalTree ); System.out.println("Accuracy fair tree : " + accuracyFairTree); System.out.println("Accuracy normal tree : " + accuracyNormalTree ); discriminationByFairTree = ( nafiFairTree / (testDataSet.numInstances()- nsiTestdata))-(nasiFairTree/nsiTestdata); discriminationByNormalTree = ( nafiNormalTree / (testDataSet.numInstances()- nsiTestdata))-( nasiNormalTree/nsiTestdata); }
visualizeNormalTree() - Method in class org.processmining.prediction.TreeConstructor
visualizePrediction(PluginContext, Predictor) - Method in class org.processmining.prediction.PredictorVisualizer

W

weight() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute: Returns the attribute's weight.
weight() - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance: Returns the instance's weight.
weightCalculation(Instances) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter
WeightedInstancesHandler - Interface in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Interface to something that makes use of the information provided by instance weights.
weights(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NoSplit: Always returns null because there is only one subset.
WekaException - Exception in org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree: Class for Weka-specific exceptions.
WekaException() - Constructor for exception org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.WekaException: Creates a new WekaException with no message.
WekaException(String) - Constructor for exception org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.WekaException: Creates a new WekaException.
wekaStaticWrapper(Sourcable, String) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Evaluation: Wraps a static classifier in enough source to test using the weka class libraries.
whichSubset(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split: Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split: Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel: Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NoSplit: Always returns 0 because only there is only one subset.
Whole_Trace_Attribute - Class in org.processmining.prediction.Augmentation
Whole_Trace_Attribute(String) - Constructor for class org.processmining.prediction.Augmentation.Whole_Trace_Attribute
wholeTraceDuration(XTrace) - Method in class org.processmining.prediction.Augmentation.PreAttributeValue
wholeTraceDuration(XTrace) - Method in class org.processmining.prediction.Predictor
willChangeVisibility(boolean) - Method in class org.processmining.prediction.ActivityPanel
willChangeVisibility(boolean) - Method in class org.processmining.prediction.ConfigurationPanel
willChangeVisibility(boolean) - Method in class org.processmining.prediction.DiscretizationPanel
willChangeVisibility(boolean) - Method in class org.processmining.prediction.LogClusterPanel
willChangeVisibility(boolean) - Method in class org.processmining.prediction.Summary
willChangeVisibility(boolean) - Method in class org.processmining.prediction.VariablePanel
write(Writer) - Method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix: Deprecated.

Writes out a matrix.
writeEdge(BufferedWriter, Edge) - Method in class org.processmining.prediction.PrefuseTreeVisualization.DottyToTree: Writes the edge as GraphML.
writeEdge(BufferedWriter, Edge, PredictionType, HashMap<String, PredictionType>, VisConfigurables) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewDottyToTree: Writes the edge as GraphML.
writeFooter(BufferedWriter) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewDottyToTree: Writes the footer of the GraphML file.
writeFooter(BufferedWriter) - Method in class org.processmining.prediction.PrefuseTreeVisualization.DottyToTree: Writes the footer of the GraphML file.
writeHeader(BufferedWriter) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewDottyToTree: Writes the header of the GraphML file.
writeHeader(BufferedWriter) - Method in class org.processmining.prediction.PrefuseTreeVisualization.DottyToTree: Writes the header of the GraphML file.
writeNode(BufferedWriter, Node) - Method in class org.processmining.prediction.PrefuseTreeVisualization.DottyToTree: Writes the node as GraphML.
writeNode(BufferedWriter, Node, PredictionType, HashMap<String, PredictionType>, VisConfigurables) - Method in class org.processmining.prediction.newPrefuseTreeVis.NewDottyToTree: Writes the node as GraphML.

X

X_AXIS - Static variable in class org.processmining.prediction.RelativeLayout
xlogx(int) - Static method in class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Utils: Returns c*log2(c) for a given integer value c.

Y

Y_AXIS - Static variable in class org.processmining.prediction.RelativeLayout

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