org.processmining.prediction

Class Predictor

java.lang.Object

org.processmining.prediction.Predictor

public class Predictor
extends java.lang.Object

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	CASE_ACTIVITY
protected org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator	df

Constructor Summary

Constructors

Constructor and Description
Predictor(org.deckfour.xes.model.XLog log)
Predictor(org.deckfour.xes.model.XLog log, org.processmining.plugins.DataConformance.ResultReplay resReplay)

Method Summary

Modifier and Type	Method and Description
boolean	augmentLog(Augmentation[] augmentationCollection, boolean useMapDB, TaskForProgressBar task)
double	classify(java.util.Map<java.lang.String,java.lang.Object> variableAssignment)
org.processmining.framework.util.Pair<java.lang.String[],org.deckfour.xes.model.XLog[]>	clusterLog(boolean onlyCorrectlyClassified, double maxDeviation)
boolean	configureAugmentation(Augmentation[] augmentationCollection)
static java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type>	extractAttributeInformation(org.deckfour.xes.model.XLog log)
java.util.Collection<java.lang.String>	getActivities()
java.util.List<java.lang.String>	getAttributes()
weka.classifiers.Evaluation	getEvaluation()
int	getInstanceSetSize()
java.util.Set<java.lang.String>	getLiteralValues(java.lang.String attribute)
static java.lang.String	getName(org.deckfour.xes.model.XAttributable element)
javax.swing.JComponent	getNormalTreeVisualization()
int	getNumInstances()
org.deckfour.xes.model.XLog	getOriginalLog()
javax.swing.JComponent	getPrefuseTreeVisualization()
org.processmining.plugins.DataConformance.ResultReplay	getResReplay()
java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type>	getTypes()
void	init()
boolean	isRegressionTree()
void	makePrediction(TaskForProgressBar task)
void	setActivitiesToConsider(java.util.Collection<java.lang.String> activitiesToConsider)
void	setBinarySplit(boolean binarySplit)
void	setConfidenceThreshold(float confidenceThreshold)
void	setMinNumInstancePerLeaf(double d)
void	setNumFolds(int numFoldErrorPruning)
DiscretizationInterval[]	setOutputAttribute(Augmentation attribute, int numberIntervals, DiscrMethod method, boolean regressionTree)
void	setRegression(boolean regressionTree)
void	setSaveData(boolean saveData)
void	setUnPruned(boolean unPruned)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

df

protected org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator df

CASE_ACTIVITY

public static final java.lang.String CASE_ACTIVITY

See Also:

Constant Field Values

Constructor Detail

Predictor

public Predictor(org.deckfour.xes.model.XLog log)

Predictor

public Predictor(org.deckfour.xes.model.XLog log,
                 org.processmining.plugins.DataConformance.ResultReplay resReplay)

Method Detail

getPrefuseTreeVisualization

public javax.swing.JComponent getPrefuseTreeVisualization()

getNormalTreeVisualization

public javax.swing.JComponent getNormalTreeVisualization()

classify

public double classify(java.util.Map<java.lang.String,java.lang.Object> variableAssignment)
                throws java.lang.Exception

Throws:

java.lang.Exception

clusterLog

public org.processmining.framework.util.Pair<java.lang.String[],org.deckfour.xes.model.XLog[]> clusterLog(boolean onlyCorrectlyClassified,
                                                                                                          double maxDeviation)
                                                                                                   throws java.lang.Exception

Throws:

java.lang.Exception

init

public void init()

getName

public static java.lang.String getName(org.deckfour.xes.model.XAttributable element)

configureAugmentation

public boolean configureAugmentation(Augmentation[] augmentationCollection)

augmentLog

public boolean augmentLog(Augmentation[] augmentationCollection,
                          boolean useMapDB,
                          TaskForProgressBar task)

getTypes

public java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type> getTypes()

setActivitiesToConsider

public void setActivitiesToConsider(java.util.Collection<java.lang.String> activitiesToConsider)

setRegression

public void setRegression(boolean regressionTree)

makePrediction

public void makePrediction(TaskForProgressBar task)
                    throws java.lang.Exception

Throws:

java.lang.Exception

setOutputAttribute

public DiscretizationInterval[] setOutputAttribute(Augmentation attribute,
                                                   int numberIntervals,
                                                   DiscrMethod method,
                                                   boolean regressionTree)

setBinarySplit

public void setBinarySplit(boolean binarySplit)

setConfidenceThreshold

public void setConfidenceThreshold(float confidenceThreshold)

setMinNumInstancePerLeaf

public void setMinNumInstancePerLeaf(double d)

setSaveData

public void setSaveData(boolean saveData)

setUnPruned

public void setUnPruned(boolean unPruned)

getNumInstances

public int getNumInstances()

setNumFolds

public void setNumFolds(int numFoldErrorPruning)

getEvaluation

public weka.classifiers.Evaluation getEvaluation()

getLiteralValues

public java.util.Set<java.lang.String> getLiteralValues(java.lang.String attribute)

getActivities

public java.util.Collection<java.lang.String> getActivities()

getOriginalLog

public org.deckfour.xes.model.XLog getOriginalLog()

getResReplay

public org.processmining.plugins.DataConformance.ResultReplay getResReplay()

isRegressionTree

public boolean isRegressionTree()

extractAttributeInformation

public static java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type> extractAttributeInformation(org.deckfour.xes.model.XLog log)

getAttributes

public java.util.List<java.lang.String> getAttributes()

getInstanceSetSize

public int getInstanceSetSize()