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java.lang.Object | +--weka.classifiers.Classifier | +--weka.classifiers.DistributionClassifier | +--weka.classifiers.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. |
static void |
main(String[] argv)
Main method for testing this class. |
String |
toString()
Returns a description of the classifier. |
Methods inherited from class weka.classifiers.DistributionClassifier |
classifyInstance |
Methods inherited from class weka.classifiers.Classifier |
forName, makeCopies |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
public NaiveBayesSimple()
Method Detail |
public void buildClassifier(Instances instances) throws Exception
buildClassifier
in class Classifier
instances
- set of instances serving as training data
Exception
- if the classifier has not been generated successfullypublic double[] distributionForInstance(Instance instance) throws Exception
distributionForInstance
in class DistributionClassifier
instance
- the instance to be classified
Exception
- if distribution can't be computedpublic String toString()
toString
in class Object
public static void main(String[] argv)
argv
- the options
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