org.processmining.models.FunctionEstimator

Class RandomTreeFunctionEstimator

java.lang.Object

org.processmining.models.FunctionEstimator.AbstractFunctionEstimator

org.processmining.models.FunctionEstimator.AbstractDecisionTreeFunctionEstimator

org.processmining.models.FunctionEstimator.DecisionTreeFunctionEstimator

org.processmining.models.FunctionEstimator.RandomTreeFunctionEstimator

All Implemented Interfaces:

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

Deprecated.

@Deprecated
public class RandomTreeFunctionEstimator
extends DecisionTreeFunctionEstimator

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
RandomTreeFunctionEstimator(java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type> attributeType, java.util.Map<java.lang.String,java.util.Set<java.lang.String>> literalValues, java.lang.Object[] outputClasses, java.lang.String name, int capacity) Deprecated.

Method Summary

Modifier and Type	Method and Description
protected weka.classifiers.AbstractClassifier	createClassifier(java.lang.Object[] option, boolean saveData) Deprecated. Creates the RepTree using the earlier supplied options.

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

addInstance, addWekaInstance, computeQualityMeasure, createAttributeList, 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, getPrefuseTreeVisualization, getQualityMeasureName, getVisualization, 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

RandomTreeFunctionEstimator

public RandomTreeFunctionEstimator(java.util.Map<java.lang.String,org.processmining.models.FunctionEstimator.Type> attributeType,
                                   java.util.Map<java.lang.String,java.util.Set<java.lang.String>> literalValues,
                                   java.lang.Object[] outputClasses,
                                   java.lang.String name,
                                   int capacity)

Deprecated.

Method Detail

createClassifier

protected weka.classifiers.AbstractClassifier createClassifier(java.lang.Object[] option,
                                                               boolean saveData)
                                                        throws java.lang.Exception

Deprecated.

Description copied from class: DecisionTreeFunctionEstimator

Creates the RepTree using the earlier supplied options.

Overrides:

createClassifier in class DecisionTreeFunctionEstimator

Parameters:

option - Array of Strings containing J48 tree options.

saveData - Boolean. True to enable saving instance data to the tree.

Returns:

a J48 tree defined by options, associated with 'instances'.

Throws:

java.lang.Exception - if classifier can't be built correctly