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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.bayes.NaiveBayesMultinomial
The core equation for this classifier: P[Ci|D] = (P[D|Ci] x P[Ci]) / P[D] (Bayes rule) where Ci is class i and D is a document
| Constructor Summary | |
NaiveBayesMultinomial()
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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 |
double |
lnFactorial(int n)
Fast computation of ln(n!) for non-negative ints negative ints are passed on to the general gamma-function based version in weka.core.SpecialFunctions if the current n value is higher than any previous one, the cache is extended and filled to cover it the common case is reduced to a simple array lookup |
static void |
main(java.lang.String[] argv)
Main method for testing this class. |
java.lang.String |
toString()
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| Methods inherited from class weka.classifiers.Classifier |
classifyInstance, 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 NaiveBayesMultinomial()
| 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 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 there is a problem generating the predictionpublic double lnFactorial(int n)
n - the integer
public java.lang.String toString()
public static void main(java.lang.String[] argv)
argv - the options
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