org.processmining.prediction

Class J48Prediction

java.lang.Object

org.processmining.models.FunctionEstimator.AbstractFunctionEstimator

org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator

org.processmining.models.FunctionEstimator.DecisionTreeFunctionEstimator

org.processmining.prediction.J48Prediction

All Implemented Interfaces:

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

public class J48Prediction
extends org.processmining.models.FunctionEstimator.DecisionTreeFunctionEstimator
implements Leafable

Field Summary

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

classIndexMap, classMapping, classValues, outputClasses

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
J48Prediction(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.Object[] outputValuesAsObjects, java.lang.String name, int capacity, java.util.HashSet<java.lang.String> timeIntervalAttributes)
J48Prediction(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.Object[] outputValuesAsObjects, java.lang.String name, int capacity, java.util.HashSet<java.lang.String> timeIntervalAttributes, boolean balanceInstances)

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) Adds a new instance to the estimator's 'instances'.
void	balanceInstances()
java.util.List<org.processmining.framework.util.Pair<java.lang.String,org.processmining.models.guards.Expression>>	getExpressionsAtLeaves()
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.
weka.core.Instances	returnInstances()

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

addWekaInstance, computeQualityMeasure, createAttributeList, createClassifier, getClassifier, getClassValue, getFunctionEstimation, isTreatNoLeafAsFalse, setTreatNoLeafAsFalse

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

J48Prediction

public J48Prediction(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.Object[] outputValuesAsObjects,
                     java.lang.String name,
                     int capacity,
                     java.util.HashSet<java.lang.String> timeIntervalAttributes)

J48Prediction

public J48Prediction(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.Object[] outputValuesAsObjects,
                     java.lang.String name,
                     int capacity,
                     java.util.HashSet<java.lang.String> timeIntervalAttributes,
                     boolean balanceInstances)

Method Detail

returnInstances

public weka.core.Instances returnInstances()

getPrefuseTreeVisualization

public javax.swing.JComponent getPrefuseTreeVisualization()

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.

getExpressionsAtLeaves

public java.util.List<org.processmining.framework.util.Pair<java.lang.String,org.processmining.models.guards.Expression>> getExpressionsAtLeaves()

Specified by:

getExpressionsAtLeaves in interface Leafable

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.

balanceInstances

public void balanceInstances()

Specified by:

balanceInstances in interface Leafable

addInstance

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

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

Adds a new instance to the estimator's 'instances'.

Specified by:

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

Overrides:

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

Parameters:

variableAssignment - A Map of variable identifier (key) and its value (object).

outputValue - The Transition which is to be executed with the variable values of variableAssignment.

weight - Parameter for weighted decision trees. Keep 1 for default.