Serialized Form

Package org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AbstractLoader extends java.lang.Object implements Serializable

Serialized Fields

m_retrieval

int m_retrieval

The current retrieval mode

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Attribute extends java.lang.Object implements Serializable

Serialized Fields

m_DateFormat

java.text.SimpleDateFormat m_DateFormat

Date format specification for date attributes

m_Hashtable

java.util.Hashtable m_Hashtable

Mapping of values to indices (if nominal or string).

m_HasZeropoint

boolean m_HasZeropoint

Whether the attribute has a zeropoint.

m_Index

int m_Index

The attribute's index.

m_IsAveragable

boolean m_IsAveragable

Whether the attribute is averagable.

m_IsRegular

boolean m_IsRegular

Whether the attribute is regular.

m_LowerBound

double m_LowerBound

The attribute's lower numeric bound.

m_LowerBoundIsOpen

boolean m_LowerBoundIsOpen

Whether the lower bound is open.

m_Metadata

ProtectedProperties m_Metadata

The attribute's metadata.

m_Name

java.lang.String m_Name

The attribute's name.

m_Ordering

int m_Ordering

The attribute's ordering.

m_Type

int m_Type

The attribute's type.

m_UpperBound

double m_UpperBound

The attribute's upper numeric bound.

m_UpperBoundIsOpen

boolean m_UpperBoundIsOpen

Whether the upper bound is open

m_Values

FastVector m_Values

The attribute's values (if nominal or string).

m_Weight

double m_Weight

The attribute's weight.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.AttributeStats extends java.lang.Object implements Serializable

Serialized Fields

distinctCount

int distinctCount

The number of distinct values

intCount

int intCount

The number of int-like values

missingCount

int missingCount

The number of missing values

nominalCounts

int[] nominalCounts

Counts of each nominal value

numericStats

weka.experiment.Stats numericStats

Stats on numeric value distributions

realCount

int realCount

The number of real-like values (i.e. have a fractional part)

totalCount

int totalCount

The total number of values (i.e. number of instances)

uniqueCount

int uniqueCount

The number of values that only appear once

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45ModelSelection extends ModelSelection implements Serializable

Serialized Fields

m_allData

Instances m_allData

The FULL training dataset.

m_minNoObj

int m_minNoObj

Minimum number of instances in interval.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.BinC45Split extends ClassifierSplitModel implements Serializable

Serialized Fields

alpha

double alpha

m_attIndex

int m_attIndex

Attribute to split on.

m_gainRatio

double m_gainRatio

GainRatio of split.

m_infoGain

double m_infoGain

InfoGain of split.

m_minNoObj

int m_minNoObj

Minimum number of objects in a split.

m_splitPoint

double m_splitPoint

Value of split point.

m_sumOfWeights

double m_sumOfWeights

The sum of the weights of the instances.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45ModelSelection extends ModelSelection implements Serializable

Serialized Fields

flag

boolean flag

Selects C4.5-type split for the given dataset.

m_allData

Instances m_allData

All the training data

m_minNoObj

int m_minNoObj

Minimum number of objects in interval.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45PruneableClassifierTree extends ClassifierTree implements Serializable

Serialized Fields

dcIndex

int dcIndex

epsilon

double epsilon

m_CF

float m_CF

The confidence factor for pruning.

m_cleanup

boolean m_cleanup

Cleanup after the tree has been built.

m_pruneTheTree

boolean m_pruneTheTree

True if the tree is to be pruned.

m_subtreeRaising

boolean m_subtreeRaising

Is subtree raising to be performed?

ndcIndex

int ndcIndex

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.C45Split extends ClassifierSplitModel implements Serializable

Serialized Fields

alpha

int alpha

m_attIndex

int m_attIndex

Attribute to split on.

m_complexityIndex

int m_complexityIndex

Desired number of branches.

m_gainRatio

double m_gainRatio

GainRatio of split.

m_index

int m_index

Number of split points.

m_infoGain

double m_infoGain

InfoGain of split.

m_minNoObj

int m_minNoObj

Minimum number of objects in a split.

m_splitPoint

double m_splitPoint

Value of split point.

m_sumOfWeights

double m_sumOfWeights

The sum of the weights of the instances.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Classifier extends java.lang.Object implements Serializable

Serialized Fields

m_Debug

boolean m_Debug

Whether the classifier is run in debug mode.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierSplitModel extends java.lang.Object implements Serializable

Serialized Fields

m_distribution

Distribution m_distribution

Distribution of class values.

m_numSubsets

int m_numSubsets

Number of created subsets.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ClassifierTree extends java.lang.Object implements Serializable

Serialized Fields

epsilon

double epsilon

m_id

int m_id

The id for the node.

m_isChanged

boolean m_isChanged

indicate of the node is changed.

m_isDifferent

boolean m_isDifferent

m_isEmpty

boolean m_isEmpty

True if node is empty.

m_isLeaf

boolean m_isLeaf

True if node is leaf.

m_localModel

ClassifierSplitModel m_localModel

Local model at node.

m_sons

ClassifierTree[] m_sons

References to sons.

m_test

Distribution m_test

The pruning instances.

m_toSelectModel

ModelSelection m_toSelectModel

The model selection method.

m_train

Instances m_train

The training instances.

NDCtoDC

int NDCtoDC

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ConverterUtils extends java.lang.Object implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CostMatrix extends Matrix implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.CSVLoader extends AbstractLoader implements Serializable

Serialized Fields

m_cumulativeInstances

FastVector m_cumulativeInstances

Holds instances accumulated so far

m_cumulativeStructure

FastVector m_cumulativeStructure

A list of hash tables for accumulating nominal values during parsing.

m_File

java.lang.String m_File

m_sourceFile

java.io.File m_sourceFile

Holds the source of the data set.

m_structure

Instances m_structure

Holds the determined structure (header) of the data set.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Distribution extends java.lang.Object implements Serializable

Serialized Fields

m_perBag

double[] m_perBag

Weight of instances per bag.

m_perClass

double[] m_perClass

Weight of instances per class.

m_perClassPerBag

double[][] m_perClassPerBag

Weight of instances per class per bag.

m_sa

double[] m_sa

totaL

double totaL

Total weight of instances.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.EntropyBasedSplitCrit extends SplitCriterion implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.FastVector extends java.lang.Object implements Serializable

Serialized Fields

m_CapacityIncrement

int m_CapacityIncrement

The capacity increment

m_CapacityMultiplier

int m_CapacityMultiplier

The capacity multiplier.

m_Objects

java.lang.Object[] m_Objects

The array of objects.

m_Size

int m_Size

The current size;

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Filter extends java.lang.Object implements Serializable

Serialized Fields

m_Debug

boolean m_Debug

Debugging mode

m_FirstBatchDone

boolean m_FirstBatchDone

True if the first batch has been done

m_InputFormat

Instances m_InputFormat

The input format for instances

m_InputStringAtts

int[] m_InputStringAtts

Indices of string attributes in the input format

m_NewBatch

boolean m_NewBatch

Record whether the filter is at the start of a batch

m_OutputFormat

Instances m_OutputFormat

The output format for instances

m_OutputQueue

Queue m_OutputQueue

The output instance queue

m_OutputStringAtts

int[] m_OutputStringAtts

Indices of string attributes in the output format

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.GainRatioSplitCrit extends EntropyBasedSplitCrit implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.InfoGainSplitCrit extends EntropyBasedSplitCrit implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instance extends java.lang.Object implements Serializable

Serialized Fields

m_AttValues

double[] m_AttValues

The instance's attribute values.

m_Dataset

Instances m_Dataset

The dataset the instance has access to. Null if the instance doesn't have access to any dataset. Only if an instance has access to a dataset, it knows about the actual attribute types.

m_Weight

double m_Weight

The instance's weight.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Instances extends java.lang.Object implements Serializable

Serialized Fields

m_Attributes

FastVector m_Attributes

The attribute information.

m_ClassIndex

int m_ClassIndex

The class attribute's index

m_IndicesBuffer

int[] m_IndicesBuffer

Buffer of indices for sparse instance

m_Instances

FastVector m_Instances

The instances.

m_RelationName

java.lang.String m_RelationName

The dataset's name.

m_ValueBuffer

double[] m_ValueBuffer

Buffer of values for sparse instance

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48 extends Classifier implements Serializable

serialVersionUID:

-217733168393644444L

Serialized Fields

m_binarySplits

boolean m_binarySplits

Binary splits on nominal attributes?

m_CF

float m_CF

Confidence level

m_minNumObj

int m_minNumObj

Minimum number of instances

m_noCleanup

boolean m_noCleanup

Cleanup after the tree has been built.

m_numFolds

int m_numFolds

Number of folds for reduced error pruning.

m_reducedErrorPruning

boolean m_reducedErrorPruning

Use reduced error pruning?

m_root

ClassifierTree m_root

The decision tree

m_Seed

int m_Seed

Random number seed for reduced-error pruning.

m_subtreeRaising

boolean m_subtreeRaising

Subtree raising to be performed?

m_unpruned

boolean m_unpruned

Unpruned tree?

m_useLaplace

boolean m_useLaplace

Determines whether probabilities are smoothed using Laplace correction when predictions are generated

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.J48WithNDCs extends Classifier implements Serializable

serialVersionUID:

-217733168393644444L

Serialized Fields

m_binarySplits

boolean m_binarySplits

Binary splits on nominal attributes?

m_CF

float m_CF

Confidence level

m_minNumObj

int m_minNumObj

Minimum number of instances

m_noCleanup

boolean m_noCleanup

Cleanup after the tree has been built.

m_numFolds

int m_numFolds

Number of folds for reduced error pruning.

m_reducedErrorPruning

boolean m_reducedErrorPruning

Use reduced error pruning?

m_root

ClassifierTree m_root

The decision tree

m_Seed

int m_Seed

Random number seed for reduced-error pruning.

m_subtreeRaising

boolean m_subtreeRaising

Subtree raising to be performed?

m_unpruned

boolean m_unpruned

Unpruned tree?

m_useLaplace

boolean m_useLaplace

Determines whether probabilities are smoothed using Laplace correction when predictions are generated

NDCtoDC

int NDCtoDC

class relabeling limit if 1 just NDC to DC leaves are relabeled if -1 just DC to NDC leaves are relabeled if 0 all leave can be relabeled

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.KernelEstimator extends java.lang.Object implements Serializable

Serialized Fields

m_AllWeightsOne

boolean m_AllWeightsOne

Whether we can optimise the kernel summation

m_NumValues

int m_NumValues

Number of values stored in m_Weights and m_Values so far

m_Precision

double m_Precision

The precision of data values

m_StandardDev

double m_StandardDev

The standard deviation

m_SumOfWeights

double m_SumOfWeights

The sum of the weights so far

m_Values

double[] m_Values

Vector containing all of the values seen

m_Weights

double[] m_Weights

Vector containing the associated weights

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Matrix extends java.lang.Object implements Serializable

Serialized Fields

m_Matrix

weka.core.matrix.Matrix m_Matrix

Deprecated.

The actual matrix

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ModelSelection extends java.lang.Object implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NaiveBayesSimple extends Classifier implements Serializable

Serialized Fields

m_Counts

double[][][] m_Counts

All the counts for nominal attributes.

m_Devs

double[][] m_Devs

The standard deviations for numeric attributes.

m_Instances

Instances m_Instances

The instances used for training.

m_Means

double[][] m_Means

The means for numeric attributes.

m_Priors

double[] m_Priors

The prior probabilities of the classes.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.NoSplit extends ClassifierSplitModel implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PrefrentialSamplingFilter extends Filter implements Serializable

Serialized Fields

dc

int dc

fn

int fn

fnList

double[][] fnList

fp

int fp

fpList

double[][] fpList

ndc

int ndc

restCount

int restCount

restList

double[][] restList

sa_Deprived

java.lang.String sa_Deprived

sa_Favored

java.lang.String sa_Favored

sa_Index

int sa_Index

saNeg

double saNeg

All the counts for sensitive attribute value for positve and negative classes. saPos=favoured community with positve class savPos=sav&+

saPos

double saPos

All the counts for sensitive attribute value for positve and negative classes. saPos=favoured community with positve class savPos=sav&+

savNeg

double savNeg

All the counts for sensitive attribute value for positve and negative classes. saPos=favoured community with positve class savPos=sav&+

savPos

double savPos

All the counts for sensitive attribute value for positve and negative classes. saPos=favoured community with positve class savPos=sav&+

sn

int sn

snList

double[][] snList

sp

int sp

spList

double[][] spList

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.ProtectedProperties extends java.util.Properties implements Serializable

Serialized Fields

closed

boolean closed

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.PruneableClassifierTree extends ClassifierTree implements Serializable

Serialized Fields

dcIndex

int dcIndex

epsilon

double epsilon

m_cleanup

boolean m_cleanup

Cleanup after the tree has been built.

m_seed

int m_seed

The random number seed.

ndcIndex

int ndcIndex

numSets

int numSets

How many subsets of equal size? One used for pruning, the rest for training.

pruneTheTree

boolean pruneTheTree

True if the tree is to be pruned.

stop

boolean stop

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue extends java.lang.Object implements Serializable

Serialized Fields

m_Head

Queue.QueueNode m_Head

Store a reference to the head of the queue

m_Size

int m_Size

Store the c m_Tail.m_Nexturrent number of elements in the queue

m_Tail

Queue.QueueNode m_Tail

Store a reference to the tail of the queue

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Queue.QueueNode extends java.lang.Object implements Serializable

Serialized Fields

m_Contents

java.lang.Object m_Contents

The nodes contents

m_Next

Queue.QueueNode m_Next

The next node in the queue

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.Range extends java.lang.Object implements Serializable

Serialized Fields

m_Invert

boolean m_Invert

Whether matching should be inverted

m_RangeStrings

java.util.Vector m_RangeStrings

Record the string representations of the columns to delete

m_SelectFlags

boolean[] m_SelectFlags

The array of flags for whether an column is selected

m_Upper

int m_Upper

Store the maximum value permitted in the range. -1 indicates that no upper value has been set

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.RemoveSAFilter extends Filter implements Serializable

Serialized Fields

m_InputStringIndex

int[] m_InputStringIndex

Contains an index of string attributes in the input format that will survive the filtering process

m_SelectCols

Range m_SelectCols

Stores which columns to select as a funky range

m_SelectedAttributes

int[] m_SelectedAttributes

Stores the indexes of the selected attributes in order, once the dataset is seen

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SerializedObject extends java.lang.Object implements Serializable

Serialized Fields

m_isCompressed

boolean m_isCompressed

Whether or not the object is compressed.

m_storedObjectArray

byte[] m_storedObjectArray

The array storing the object.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SparseInstance extends Instance implements Serializable

Serialized Fields

m_Indices

int[] m_Indices

The index of the attribute associated with each stored value.

m_NumAttributes

int m_NumAttributes

The maximum number of values that can be stored.

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.SplitCriterion extends java.lang.Object implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnassignedClassException extends java.lang.RuntimeException implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnassignedDatasetException extends java.lang.RuntimeException implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnsupportedAttributeTypeException extends WekaException implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.UnsupportedClassTypeException extends WekaException implements Serializable

Class org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.WekaException extends java.lang.Exception implements Serializable

Package org.processmining.prediction

Class org.processmining.prediction.ActivityPanel extends com.fluxicon.slickerbox.components.RoundedPanel implements Serializable

Serialized Fields

addButton

javax.swing.JButton addButton

aList

MyProMList aList

caseLevelButton

javax.swing.JToggleButton caseLevelButton

excludeButton

javax.swing.JButton excludeButton

existingActivities

java.util.List<java.lang.String> existingActivities

removeButton

javax.swing.JButton removeButton

resetButton

javax.swing.JButton resetButton

varPanel

VariablePanel varPanel

Class org.processmining.prediction.AlignmentFrame extends javax.swing.JFrame implements Serializable

Serialized Fields

activityList

java.lang.String[] activityList

buttonList

org.processmining.prediction.PairButton[][] buttonList

resReplay

org.processmining.plugins.DataConformance.ResultReplay resReplay

Class org.processmining.prediction.ConfigurationPanel extends javax.swing.JPanel implements Serializable

Serialized Fields

confThreshold

com.fluxicon.slickerbox.components.NiceDoubleSlider confThreshold

DCtoNDC

javax.swing.JRadioButton DCtoNDC

dependentChoicePlace

java.lang.String dependentChoicePlace

dependentTransitions

java.lang.String[][] dependentTransitions

dependentVariableType

java.lang.String dependentVariableType

epsilon

com.fluxicon.slickerbox.components.NiceIntegerSlider epsilon

frame

DecisionTreePanel frame

fromVarPanel

boolean fromVarPanel

lastSelectedAttribute

Augmentation lastSelectedAttribute

lastSelectedSensitiveAttribute

Augmentation lastSelectedSensitiveAttribute

minNumInstancePerLeaf

com.fluxicon.slickerbox.components.NiceIntegerSlider minNumInstancePerLeaf

NDCtoDC

javax.swing.JRadioButton NDCtoDC

noLimit

javax.swing.JRadioButton noLimit

numInstances

int numInstances

outputAttName

java.lang.String outputAttName

outputAttribCbx

javax.swing.JComboBox outputAttribCbx

sensitiveAttName

java.lang.String sensitiveAttName

sensitiveAttribCbx

javax.swing.JComboBox sensitiveAttribCbx

wholeTraceAttribute

java.lang.String wholeTraceAttribute

Class org.processmining.prediction.DecisionTreePanel extends javax.swing.JPanel implements Serializable

Serialized Fields

actPanel

ActivitiesGrouper actPanel

choiceOutputAttributePlace

java.lang.String choiceOutputAttributePlace

confPanel

ConfigurationPanel confPanel

discrPanel

DiscretizationPanel discrPanel

method

DiscrMethod method

numIntervals

int numIntervals

outputAttribute

Augmentation outputAttribute

predictor

Predictor predictor

proMContext

org.processmining.framework.plugin.PluginContext proMContext

recomputeIntervals

boolean recomputeIntervals

tvScalable

org.processmining.framework.util.ui.scalableview.ScalableViewPanel tvScalable

varPanel

VariablePanel varPanel

Class org.processmining.prediction.DiscretizationInterval extends org.processmining.framework.util.Pair<java.lang.Double,java.lang.Double> implements Serializable

serialVersionUID:

-7018538256206819734L

Serialized Fields

name

java.lang.String name

secExtremeIncluded

boolean secExtremeIncluded

Class org.processmining.prediction.DiscretizationPanel extends javax.swing.JPanel implements Serializable

Class org.processmining.prediction.LogClusterPanel extends com.fluxicon.slickerbox.components.RoundedPanel implements Serializable

Serialized Fields

onlyCorrectClassified

javax.swing.JCheckBox onlyCorrectClassified

threshold

com.fluxicon.slickerbox.components.NiceIntegerSlider threshold

Class org.processmining.prediction.MyProMList extends com.fluxicon.slickerbox.components.RoundedPanel implements Serializable

serialVersionUID:

1L

Serialized Fields

jList

javax.swing.JList jList

Class org.processmining.prediction.PrefuseTreeVisualization extends java.lang.Object implements Serializable

serialVersionUID:

7485599985684890717L

Class org.processmining.prediction.PrefuseTreeVisualization.TreePanel extends prefuse.Display implements Serializable

serialVersionUID:

8262123080545898882L

Serialized Fields

m_edgeRenderer

prefuse.render.EdgeRenderer m_edgeRenderer

m_label

java.lang.String m_label

m_nodeRenderer

prefuse.render.LabelRenderer m_nodeRenderer

m_orientation

int m_orientation

Class org.processmining.prediction.PrefuseTreeVisualization.TreePanel.OrientAction extends javax.swing.AbstractAction implements Serializable

Serialized Fields

orientation

int orientation

Class org.processmining.prediction.RelativeLayout extends java.lang.Object implements Serializable

Serialized Fields

alignment

float alignment

The alignment of the Components on the other axis of the Container. For X-AXIS this would refer to the Y alignemt. For Y-AXIS this would refer to the X alignment.

axis

int axis

The axis of the Components within the Container.

borderGap

int borderGap

The gap (in pixels) used before the leading component and after the trailing component. It can be changed at any time and should be a non-negative integer.

constraints

java.util.HashMap<java.awt.Component,java.lang.Float> constraints

fill

boolean fill

fillGap

int fillGap

gap

int gap

This is the gap (in pixels) which specifies the space between components It can be changed at any time and should be a non-negative integer.

roundingPolicy

int roundingPolicy

Class org.processmining.prediction.Summary extends javax.swing.JPanel implements Serializable

Class org.processmining.prediction.VariablePanel extends javax.swing.JPanel implements Serializable

Serialized Fields

activitySet

java.util.Collection<java.lang.String> activitySet

attributeSet

java.util.Collection<java.lang.String> attributeSet

attributesTree

javax.swing.JTree attributesTree

attributeType

java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type> attributeType

configurationFrame

ConfigurationPanel configurationFrame

decUpdateBtn

javax.swing.JButton decUpdateBtn

DTP

DecisionTreePanel DTP

finalSelectedAugmentations

java.util.Collection<Augmentation> finalSelectedAugmentations

fitness

Augmentation fitness

fitnessBtn

javax.swing.JButton fitnessBtn

fitnessCBox

javax.swing.JCheckBox fitnessCBox

frame

AlignmentFrame frame

mapDBCBox

javax.swing.JCheckBox mapDBCBox

northPanel

javax.swing.JPanel northPanel

selectedORplace

java.lang.String selectedORplace

traceAttributeSet

java.util.Collection<java.lang.String> traceAttributeSet

traceDelayThresholdSlider

com.fluxicon.slickerbox.components.NiceIntegerSlider traceDelayThresholdSlider

Package org.processmining.prediction.Augmentation

Class org.processmining.prediction.Augmentation.ActivityDuration extends Augmentation implements Serializable

Serialized Fields

duration

long duration

mapNamesToEvents

java.util.Map<java.lang.String,java.util.List<org.deckfour.xes.model.XEvent>> mapNamesToEvents

Class org.processmining.prediction.Augmentation.ActivityName extends Augmentation implements Serializable

Class org.processmining.prediction.Augmentation.AlignmentMove extends Augmentation implements Serializable

Serialized Fields

activityName

java.lang.String activityName

align

org.processmining.plugins.DataConformance.Alignment align

logIter

java.util.ListIterator<org.processmining.plugins.DataConformance.framework.ExecutionStep> logIter

moveTypes

java.lang.String moveTypes

numMoves

int numMoves

processIter

java.util.ListIterator<org.processmining.plugins.DataConformance.framework.ExecutionStep> processIter

resReplay

org.processmining.plugins.DataConformance.ResultReplay resReplay

stepIter

java.util.ListIterator<org.processmining.plugins.DataConformance.visualization.DataAwareStepTypes> stepIter

Class org.processmining.prediction.Augmentation.AttributeValue extends Augmentation implements Serializable

Serialized Fields

originalName

java.lang.String originalName

value

java.lang.Object value

Class org.processmining.prediction.Augmentation.Augmentation extends javax.swing.tree.DefaultMutableTreeNode implements Serializable

Serialized Fields

attributeName

java.lang.String attributeName

Class org.processmining.prediction.Augmentation.Choice extends Augmentation implements Serializable

Class org.processmining.prediction.Augmentation.ElapsedTime extends Augmentation implements Serializable

Serialized Fields

firstEventTimeStamp

java.util.Date firstEventTimeStamp

Class org.processmining.prediction.Augmentation.EventLevelAugmentation extends Augmentation implements Serializable

Serialized Fields

currPos

int currPos

eventName

java.lang.String eventName

trace

org.deckfour.xes.model.XTrace trace

Class org.processmining.prediction.Augmentation.EventNumber extends Augmentation implements Serializable

Serialized Fields

numExecution

int numExecution

Class org.processmining.prediction.Augmentation.Executor extends Augmentation implements Serializable

Class org.processmining.prediction.Augmentation.Fitness extends Augmentation implements Serializable

Serialized Fields

fitness

float fitness

resReplay

org.processmining.plugins.DataConformance.ResultReplay resReplay

Class org.processmining.prediction.Augmentation.Group extends Augmentation implements Serializable

Class org.processmining.prediction.Augmentation.NextActivity extends Augmentation implements Serializable

Serialized Fields

activityNamesToConsider

java.lang.String[] activityNamesToConsider

allActivityNames

java.lang.String[] allActivityNames

currPos

int currPos

defaultValue

java.lang.String defaultValue

trace

org.deckfour.xes.model.XTrace trace

Class org.processmining.prediction.Augmentation.NumberExecution extends Augmentation implements Serializable

Serialized Fields

activityName

java.lang.String activityName

numExecution

int numExecution

Class org.processmining.prediction.Augmentation.OtherEventAttributes extends Augmentation implements Serializable

Serialized Fields

eventName

java.lang.String eventName

trace

org.deckfour.xes.model.XTrace trace

Class org.processmining.prediction.Augmentation.PreAttributeValue extends Augmentation implements Serializable

Serialized Fields

attribute

java.lang.String attribute

value

java.lang.Object value

Class org.processmining.prediction.Augmentation.PreviousActivity extends Augmentation implements Serializable

Serialized Fields

currPos

int currPos

trace

org.deckfour.xes.model.XTrace trace

Class org.processmining.prediction.Augmentation.RemainingTime extends Augmentation implements Serializable

Serialized Fields

lastEventTimeStamp

java.util.Date lastEventTimeStamp

Class org.processmining.prediction.Augmentation.Resource extends Augmentation implements Serializable

Class org.processmining.prediction.Augmentation.ResourceWorkload extends Augmentation implements Serializable

Serialized Fields

log

org.deckfour.xes.model.XLog log

trw

TotalResourceWorkload trw

workload

java.util.Map<java.lang.Long,java.util.Map<java.lang.String,java.lang.Integer>> workload

workloadToBeComputed

boolean workloadToBeComputed

Class org.processmining.prediction.Augmentation.Role extends Augmentation implements Serializable

Class org.processmining.prediction.Augmentation.Sub_Model_Attribute extends Augmentation implements Serializable

Class org.processmining.prediction.Augmentation.SumAttributeValue extends Augmentation implements Serializable

Serialized Fields

originalName

java.lang.String originalName

value

java.lang.Number value

Class org.processmining.prediction.Augmentation.Timestamp extends Augmentation implements Serializable

Class org.processmining.prediction.Augmentation.TotalResourceWorkload extends Augmentation implements Serializable

Serialized Fields

days

double days

lastLog

org.deckfour.xes.model.XLog lastLog

lastTimeWindow

long lastTimeWindow

log

org.deckfour.xes.model.XLog log

startEventsPresent

boolean startEventsPresent

timeWindow

long timeWindow

workload

java.util.Map<java.lang.Long,java.lang.Integer> workload

workloadToBeComputed

boolean workloadToBeComputed

Class org.processmining.prediction.Augmentation.traceAttributeValue extends Augmentation implements Serializable

Serialized Fields

attribute

java.lang.String attribute

value

java.lang.Object value

Class org.processmining.prediction.Augmentation.Whole_Trace_Attribute extends Augmentation implements Serializable

Serialized Fields

attribute

java.lang.String attribute

value

java.lang.Object value

Package org.processmining.prediction.newPrefuseTreeVis

Class org.processmining.prediction.newPrefuseTreeVis.NewPrefuseTreeVis extends java.lang.Object implements Serializable

serialVersionUID:

7485599985684890717L

Serialized Fields

parser

GraphMLParser parser

Class org.processmining.prediction.newPrefuseTreeVis.TreePanel extends prefuse.Display implements Serializable

serialVersionUID:

8262123080545898882L

Serialized Fields

m_edgeRenderer

NewEdgeRenderer m_edgeRenderer

m_label

java.lang.String m_label

m_nodeRenderer

prefuse.render.LabelRenderer m_nodeRenderer

m_orientation

int m_orientation

m_valueRenderer

prefuse.render.LabelRenderer m_valueRenderer

Class org.processmining.prediction.newPrefuseTreeVis.TreePanel.OrientAction extends javax.swing.AbstractAction implements Serializable

Serialized Fields

orientation

int orientation

Package org.processmining.prediction.NewTreeVisualizer

Class org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer extends weka.gui.visualize.PrintablePanel implements Serializable

serialVersionUID:

-8668637962504080749L

Serialized Fields

m_accept

javax.swing.JMenuItem m_accept

An option on the win menu.

m_autoScale

javax.swing.JMenuItem m_autoScale

An option on the win_menu

m_BackgroundColor

java.awt.Color m_BackgroundColor

the background color.

m_classifyChild

javax.swing.JMenuItem m_classifyChild

Use this to have J48 classify this node.

m_clickAvailable

boolean m_clickAvailable

A variable used to determine for the clicked method if any other mouse state has already taken place.

m_currentFont

java.awt.Font m_currentFont

The font used to display the tree.

m_edges

org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer.EdgeInfo[] m_edges

An array with the Edges sorted into it and display information about the Edges.

m_fitToScreen

javax.swing.JMenuItem m_fitToScreen

An option on the win_menu

m_focusNode

int m_focusNode

The subscript for the currently selected node (this is an internal thing, so the user is unaware of this).

m_FontColor

java.awt.Color m_FontColor

the font color.

m_fontSize

java.awt.FontMetrics m_fontSize

The size information for the current font.

m_frameLimiter

javax.swing.Timer m_frameLimiter

A timer to keep the frame rate constant.

m_highlightNode

int m_highlightNode

The Node the user is currently focused on , this is similar to focus node except that it is used by other classes rather than this one.

m_LineColor

java.awt.Color m_LineColor

the line color.

m_listener

TreeDisplayListener m_listener

m_mouseState

int m_mouseState

Describes the action the user is performing.

m_newMousePos

java.awt.Dimension m_newMousePos

A variable used to tag the most current point of a user action.

m_NodeColor

java.awt.Color m_NodeColor

the node color.

m_nodeMenu

javax.swing.JPopupMenu m_nodeMenu

A right or middle click popup menu for nodes.

m_nodes

org.processmining.prediction.NewTreeVisualizer.MyTreeVisualizer.NodeInfo[] m_nodes

An array with the Nodes sorted into it and display information about the Nodes.

m_numLevels

int m_numLevels

The number of levels in the tree.

m_numNodes

int m_numNodes

The number of Nodes in the tree.

m_nViewPos

java.awt.Dimension m_nViewPos

A variable used to remember the desired view pos.

m_nViewSize

java.awt.Dimension m_nViewSize

A variable used to remember the desired tree size.

m_oldMousePos

java.awt.Dimension m_oldMousePos

A variable used to tag the start pos of a user action.

m_placer

NodePlace m_placer

The placement algorithm for the Node structure.

m_remChildren

javax.swing.JMenuItem m_remChildren

Similar to add children but now it removes children.

m_scaling

int m_scaling

The number of frames left to calculate.

m_selectFont

javax.swing.JMenu m_selectFont

A sub group on the win_menu

m_selectFontGroup

javax.swing.ButtonGroup m_selectFontGroup

A grouping for the font choices

m_sendInstances

javax.swing.JMenuItem m_sendInstances

Use this to dump the instances from this node to the vis panel.

m_ShowBorder

boolean m_ShowBorder

whether to show the border or not.

m_size1

javax.swing.JRadioButtonMenuItem m_size1

A font choice.

m_size10

javax.swing.JRadioButtonMenuItem m_size10

A font choice.

m_size12

javax.swing.JRadioButtonMenuItem m_size12

A font choice.

m_size14

javax.swing.JRadioButtonMenuItem m_size14

A font choice.

m_size16

javax.swing.JRadioButtonMenuItem m_size16

A font choice.

m_size18

javax.swing.JRadioButtonMenuItem m_size18

A font choice.

m_size2

javax.swing.JRadioButtonMenuItem m_size2

A font choice.

m_size20

javax.swing.JRadioButtonMenuItem m_size20

A font choice.

m_size22

javax.swing.JRadioButtonMenuItem m_size22

A font choice.

m_size24

javax.swing.JRadioButtonMenuItem m_size24

A font choice.

m_size4

javax.swing.JRadioButtonMenuItem m_size4

A font choice.

m_size6

javax.swing.JRadioButtonMenuItem m_size6

A font choice.

m_size8

javax.swing.JRadioButtonMenuItem m_size8

A font choice.

m_topN

javax.swing.JMenuItem m_topN

An option on the win_menu

m_topNode

Node m_topNode

The top Node.

m_viewPos

java.awt.Dimension m_viewPos

The postion of the view relative to the tree.

m_viewSize

java.awt.Dimension m_viewSize

The size of the tree in pixels.

m_visualise

javax.swing.JMenuItem m_visualise

A visualize choice for the node, may not be available.

m_winMenu

javax.swing.JPopupMenu m_winMenu

A right (or middle) click popup menu.

m_ZoomBoxColor

java.awt.Color m_ZoomBoxColor

the color of the zoombox.

m_ZoomBoxXORColor

java.awt.Color m_ZoomBoxXORColor

the XOR color of the zoombox.

map

java.util.Map<java.lang.String,java.awt.Color> map