ai.libs.jaicore.ml.tsc.classifier.trees

Class AccessibleRandomTree

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.trees.RandomTree

ai.libs.jaicore.ml.tsc.classifier.trees.AccessibleRandomTree

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.classifiers.Classifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.Drawable, weka.core.OptionHandler, weka.core.PartitionGenerator, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.WeightedInstancesHandler

public class AccessibleRandomTree
extends weka.classifiers.trees.RandomTree

Random Tree extension providing leaf node information of the constructed tree.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class weka.classifiers.trees.RandomTree

weka.classifiers.trees.RandomTree.Tree

Field Summary

Fields

Modifier and Type	Field and Description
protected ai.libs.jaicore.ml.tsc.classifier.trees.AccessibleRandomTree.AccessibleTree	tree Internal tree object providing access to leaf node information.

Fields inherited from class weka.classifiers.trees.RandomTree

m_AllowUnclassifiedInstances, m_BreakTiesRandomly, m_computeImpurityDecreases, m_impurityDecreasees, m_Info, m_KValue, m_MaxDepth, m_MinNum, m_MinVarianceProp, m_NumFolds, m_randomSeed, m_Tree, m_zeroR

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, m_BatchSize, m_Debug, m_DoNotCheckCapabilities, m_numDecimalPlaces, NUM_DECIMAL_PLACES_DEFAULT

Fields inherited from interface weka.core.Drawable

BayesNet, Newick, NOT_DRAWABLE, TREE

Constructor Summary

Constructors

Constructor and Description
AccessibleRandomTree()

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances data)
double[]	distributionForInstance(weka.core.Instance instance)
int	getLastNode()
ai.libs.jaicore.ml.tsc.classifier.trees.AccessibleRandomTree.AccessibleTree	getMTree()
int	getNosLeafNodes()
protected static double	singleVariance(double s, double sS, double weight) Computes the variance for a single set

Methods inherited from class weka.classifiers.trees.RandomTree

allowUnclassifiedInstancesTipText, breakTiesRandomlyTipText, generatePartition, getAllowUnclassifiedInstances, getBreakTiesRandomly, getCapabilities, getComputeImpurityDecreases, getImpurityDecreases, getKValue, getM_Tree, getMaxDepth, getMembershipValues, getMinNum, getMinVarianceProp, getNumFolds, getOptions, getSeed, globalInfo, graph, graphType, KValueTipText, listOptions, main, maxDepthTipText, minNumTipText, minVariancePropTipText, numElements, numFoldsTipText, seedTipText, setAllowUnclassifiedInstances, setBreakTiesRandomly, setComputeImpurityDecreases, setKValue, setMaxDepth, setMinNum, setMinVarianceProp, setNumFolds, setOptions, setSeed, toString, variance

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, classifyInstance, debugTipText, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getRevision, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, postExecution, preExecution, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

Methods inherited from class java.lang.Object

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

Field Detail

tree

protected ai.libs.jaicore.ml.tsc.classifier.trees.AccessibleRandomTree.AccessibleTree tree

Internal tree object providing access to leaf node information.

Constructor Detail

AccessibleRandomTree

public AccessibleRandomTree()

Method Detail

distributionForInstance

public double[] distributionForInstance(weka.core.Instance instance)
                                 throws java.lang.Exception

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class weka.classifiers.trees.RandomTree

Throws:

java.lang.Exception

buildClassifier

public void buildClassifier(weka.core.Instances data)
                     throws java.lang.Exception

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Overrides:

buildClassifier in class weka.classifiers.trees.RandomTree

Throws:

java.lang.Exception

getMTree

public ai.libs.jaicore.ml.tsc.classifier.trees.AccessibleRandomTree.AccessibleTree getMTree()

Returns:

the m_Tree

getNosLeafNodes

public int getNosLeafNodes()

Returns:

the nosLeafNodes

getLastNode

public int getLastNode()

Returns:

the lastNode

singleVariance

protected static double singleVariance(double s,
                                       double sS,
                                       double weight)

Computes the variance for a single set

Parameters:

s -

sS -

weight - the weight

Returns:

the variance