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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.trees.NBTree
Class for generating a Naive Bayes tree (decision tree with Naive Bayes classifiers at the leaves). For more information, see
Ron Kohavi (1996). Scaling up the accuracy of naive-Bayes classifiers: a decision tree hybrid. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining.
| Field Summary |
| Fields inherited from interface weka.core.Drawable |
BayesNet, NOT_DRAWABLE, TREE |
| Constructor Summary | |
NBTree()
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| Method Summary | |
void |
buildClassifier(Instances instances)
Generates the classifier. |
double |
classifyInstance(Instance instance)
Classifies an instance. |
double[] |
distributionForInstance(Instance instance)
Returns class probabilities for an instance. |
java.util.Enumeration |
enumerateMeasures()
Returns an enumeration of the additional measure names |
double |
getMeasure(java.lang.String additionalMeasureName)
Returns the value of the named measure |
java.lang.String |
globalInfo()
Returns a string describing classifier |
java.lang.String |
graph()
Returns graph describing the tree. |
int |
graphType()
Returns the type of graph this classifier represents. |
static void |
main(java.lang.String[] argv)
Main method for testing this class |
double |
measureNumLeaves()
Returns the number of leaves |
double |
measureNumRules()
Returns the number of rules (same as number of leaves) |
double |
measureTreeSize()
Returns the size of the tree |
java.lang.String |
toString()
Returns a description of the classifier. |
java.lang.String |
toSummaryString()
Returns a superconcise version of the model |
| Methods inherited from class weka.classifiers.Classifier |
debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, setDebug, setOptions |
| Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
public NBTree()
| Method Detail |
public java.lang.String globalInfo()
public void buildClassifier(Instances instances)
throws java.lang.Exception
buildClassifier in class Classifierinstances - set of instances serving as training data
java.lang.Exception - if classifier can't be built successfully
public double classifyInstance(Instance instance)
throws java.lang.Exception
classifyInstance in class Classifierinstance - the instance to be classified
java.lang.Exception - if instance can't be classified successfully
public final double[] distributionForInstance(Instance instance)
throws java.lang.Exception
distributionForInstance in class Classifierinstance - the instance to be classified
java.lang.Exception - if distribution can't be computed successfullypublic java.lang.String toString()
public int graphType()
graphType in interface Drawable
public java.lang.String graph()
throws java.lang.Exception
graph in interface Drawablejava.lang.Exception - if graph can't be computedpublic java.lang.String toSummaryString()
toSummaryString in interface Summarizablepublic double measureTreeSize()
public double measureNumLeaves()
public double measureNumRules()
public double getMeasure(java.lang.String additionalMeasureName)
getMeasure in interface AdditionalMeasureProduceradditionalMeasureName - the name of the measure to query for its value
java.lang.IllegalArgumentException - if the named measure is not supportedpublic java.util.Enumeration enumerateMeasures()
enumerateMeasures in interface AdditionalMeasureProducerpublic static void main(java.lang.String[] argv)
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