org.processmining.prediction

Class RepTreePrediction

java.lang.Object

org.processmining.models.FunctionEstimator.AbstractFunctionEstimator

org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator

org.processmining.models.FunctionEstimator.RepTreeEstimator

org.processmining.prediction.RepTreePrediction

All Implemented Interfaces:

org.processmining.models.FunctionEstimator.DecisionTreeBasedFunctionEstimator, org.processmining.models.FunctionEstimator.FunctionEstimator

public class RepTreePrediction
extends org.processmining.models.FunctionEstimator.RepTreeEstimator

Field Summary

Fields inherited from class org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator

attributeIndexMap, attributeList, binarySplit, booleanValues, classAttributeName, confidenceThreshold, crossValidate, evaluation, FALSE_VALUE, instances, minNumInstancePerLeaf, name, nullValue, numFoldCrossValidation, numFoldErrorPruning, saveData, tree, TRUE_VALUE, unpruned, variableType

Constructor Summary

Constructors

Constructor and Description
RepTreePrediction(java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type> map, java.util.Map<java.lang.String,java.util.Set<java.lang.String>> literalValues, java.lang.String classAttributeName, java.lang.String name, int capacity, java.util.Set<java.lang.String> timeIntervalAttributes)

Method Summary

Modifier and Type	Method and Description
void	addInstance(java.util.Map<java.lang.String,java.lang.Object> variableAssignment, java.lang.Object outputValue, float weight)
protected java.lang.String	cleanTreeRepresentation(java.lang.String dotFile)
javax.swing.JComponent	getPrefuseTreeVisualization() Returns a JPanel containing a visualization of the weka J48 tree using prefusetrees
javax.swing.JPanel	getVisualization() Returns a JPanel containing a visualization of the weka tree.

Methods inherited from class org.processmining.models.FunctionEstimator.RepTreeEstimator

computeQualityMeasure, createAttributeList, createClassifier, getFunctionEstimation

Methods inherited from class org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator

classify, computeFMeasure, createAndSetTree, createInstance, getAttributeByName, getConfidenceThreshold, getEstimation, getEvaluation, getMinNumInstancePerLeaf, getName, getNumFoldCrossValidation, getNumFoldErrorPruning, getNumInstances, getQualityMeasureName, isBinarySplit, isCrossValidate, isUnpruned, saveInstances, setBinarySplit, setConfidenceFactor, setCrossValidate, setMinNumObj, setNumFoldCrossValidation, setNumFolds, setSaveData, setUnpruned, toString

Methods inherited from class org.processmining.models.FunctionEstimator.AbstractFunctionEstimator

buildExpressionsFromLeafs, convertToExpression, getEstimation

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.processmining.models.FunctionEstimator.FunctionEstimator

getEstimation

Constructor Detail

RepTreePrediction

public RepTreePrediction(java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type> map,
                         java.util.Map<java.lang.String,java.util.Set<java.lang.String>> literalValues,
                         java.lang.String classAttributeName,
                         java.lang.String name,
                         int capacity,
                         java.util.Set<java.lang.String> timeIntervalAttributes)

Method Detail

addInstance

public void addInstance(java.util.Map<java.lang.String,java.lang.Object> variableAssignment,
                        java.lang.Object outputValue,
                        float weight)

Specified by:

addInstance in interface org.processmining.models.FunctionEstimator.FunctionEstimator

Overrides:

addInstance in class org.processmining.models.FunctionEstimator.RepTreeEstimator

getVisualization

public javax.swing.JPanel getVisualization()

Description copied from class: org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator

Returns a JPanel containing a visualization of the weka tree.

Overrides:

getVisualization in class org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator

Returns:

containing a visualization of the decision tree.

getPrefuseTreeVisualization

public javax.swing.JComponent getPrefuseTreeVisualization()

Description copied from class: org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator

Returns a JPanel containing a visualization of the weka J48 tree using prefusetrees

Overrides:

getPrefuseTreeVisualization in class org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator

Returns:

containing a visualization of the decision tree.

cleanTreeRepresentation

protected java.lang.String cleanTreeRepresentation(java.lang.String dotFile)