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java.lang.Objectweka.classifiers.trees.j48.ClassifierSplitModel
weka.classifiers.trees.j48.NBTreeSplit
public class NBTreeSplit
Class implementing a NBTree split on an attribute.
| Constructor Summary | |
|---|---|
NBTreeSplit(int attIndex,
int minNoObj,
double sumOfWeights)
Initializes the split model. |
|
| Method Summary | |
|---|---|
int |
attIndex()
Returns index of attribute for which split was generated. |
void |
buildClassifier(Instances trainInstances)
Creates a NBTree-type split on the given data. |
double |
classProb(int classIndex,
Instance instance,
int theSubset)
Return the probability for a class value |
double |
getErrors()
Return the errors made by the naive bayes models arising from this split. |
NBTreeNoSplit |
getGlobalModel()
Return the global naive bayes model for this node |
java.lang.String |
getRevision()
Returns the revision string. |
java.lang.String |
leftSide(Instances data)
Prints left side of condition.. |
java.lang.String |
rightSide(int index,
Instances data)
Prints the condition satisfied by instances in a subset. |
void |
setGlobalModel(NBTreeNoSplit global)
Set the global naive bayes model for this node |
java.lang.String |
sourceExpression(int index,
Instances data)
Returns a string containing java source code equivalent to the test made at this node. |
double[] |
weights(Instance instance)
Returns weights if instance is assigned to more than one subset. |
int |
whichSubset(Instance instance)
Returns index of subset instance is assigned to. |
| Methods inherited from class weka.classifiers.trees.j48.ClassifierSplitModel |
|---|
checkModel, classifyInstance, classProbLaplace, clone, codingCost, distribution, dumpLabel, dumpModel, numSubsets, resetDistribution, sourceClass, split |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public NBTreeSplit(int attIndex,
int minNoObj,
double sumOfWeights)
| Method Detail |
|---|
public void buildClassifier(Instances trainInstances)
throws java.lang.Exception
buildClassifier in class ClassifierSplitModeljava.lang.Exception - if something goes wrongpublic final int attIndex()
public final int whichSubset(Instance instance)
throws java.lang.Exception
whichSubset in class ClassifierSplitModeljava.lang.Exception - if something goes wrongpublic final double[] weights(Instance instance)
weights in class ClassifierSplitModel
public final java.lang.String sourceExpression(int index,
Instances data)
sourceExpression in class ClassifierSplitModelindex - index of the nominal value testeddata - the data containing instance structure info
public final java.lang.String rightSide(int index,
Instances data)
rightSide in class ClassifierSplitModelindex - of subsetdata - training set.public final java.lang.String leftSide(Instances data)
leftSide in class ClassifierSplitModeldata - training set.
public double classProb(int classIndex,
Instance instance,
int theSubset)
throws java.lang.Exception
classProb in class ClassifierSplitModelclassIndex - the index of the class valueinstance - the instance to generate a probability fortheSubset - the subset to consider
java.lang.Exception - if an error occurspublic NBTreeNoSplit getGlobalModel()
NBTreeNoSplit valuepublic void setGlobalModel(NBTreeNoSplit global)
global - a NBTreeNoSplit valuepublic double getErrors()
double valuepublic java.lang.String getRevision()
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