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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.bayes.NaiveBayesSimple
public class NaiveBayesSimple
Class for building and using a simple Naive Bayes classifier. Numeric attributes are modelled by a normal distribution. For more information, see
Richard Duda and Peter Hart (1973).Pattern Classification and Scene Analysis. Wiley, New York.
| Constructor Summary | |
|---|---|
NaiveBayesSimple()
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| Method Summary | |
|---|---|
void |
buildClassifier(Instances instances)
Generates the classifier. |
double[] |
distributionForInstance(Instance instance)
Calculates the class membership probabilities for the given test instance. |
java.lang.String |
globalInfo()
Returns a string describing this classifier |
static void |
main(java.lang.String[] argv)
Main method for testing this class. |
java.lang.String |
toString()
Returns a description of the classifier. |
| Methods inherited from class weka.classifiers.Classifier |
|---|
classifyInstance, debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions |
| Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
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public NaiveBayesSimple()
| Method Detail |
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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 the classifier has not been generated successfully
public 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 computedpublic java.lang.String toString()
toString in class java.lang.Objectpublic static void main(java.lang.String[] argv)
argv - the options
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