类 NaiveBayesMultinomial

java.lang.Object
weka.classifiers.Classifier
weka.classifiers.bayes.NaiveBayesMultinomial
所有已实现的接口:
Serializable, Cloneable, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler, WeightedInstancesHandler
直接已知子类:
NaiveBayesMultinomialUpdateable

public class NaiveBayesMultinomial extends Classifier implements WeightedInstancesHandler, TechnicalInformationHandler
Class for building and using a multinomial Naive Bayes classifier. For more information see,

Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.

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.

BibTeX:

 @inproceedings{Mccallum1998,
    author = {Andrew Mccallum and Kamal Nigam},
    booktitle = {AAAI-98 Workshop on 'Learning for Text Categorization'},
    title = {A Comparison of Event Models for Naive Bayes Text Classification},
    year = {1998}
 }
 

Valid options are:

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
版本:
$Revision: 11303 $
作者:
Andrew Golightly (acg4@cs.waikato.ac.nz), Bernhard Pfahringer (bernhard@cs.waikato.ac.nz)
另请参阅:
  • 构造器详细资料

    • NaiveBayesMultinomial

      public NaiveBayesMultinomial()
  • 方法详细资料

    • globalInfo

      public String globalInfo()
      Returns a string describing this classifier
      返回:
      a description of the classifier suitable for displaying in the explorer/experimenter gui
    • getTechnicalInformation

      public TechnicalInformation getTechnicalInformation()
      Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
      指定者:
      getTechnicalInformation 在接口中 TechnicalInformationHandler
      返回:
      the technical information about this class
    • getCapabilities

      public Capabilities getCapabilities()
      Returns default capabilities of the classifier.
      指定者:
      getCapabilities 在接口中 CapabilitiesHandler
      覆盖:
      getCapabilities 在类中 Classifier
      返回:
      the capabilities of this classifier
      另请参阅:
    • buildClassifier

      public void buildClassifier(Instances instances) throws Exception
      Generates the classifier.
      指定者:
      buildClassifier 在类中 Classifier
      参数:
      instances - set of instances serving as training data
      抛出:
      Exception - if the classifier has not been generated successfully
    • distributionForInstance

      public double[] distributionForInstance(Instance instance) throws Exception
      Calculates the class membership probabilities for the given test instance.
      覆盖:
      distributionForInstance 在类中 Classifier
      参数:
      instance - the instance to be classified
      返回:
      predicted class probability distribution
      抛出:
      Exception - if there is a problem generating the prediction
    • lnFactorial

      public 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
      参数:
      n - the integer
      返回:
      ln(n!)
    • toString

      public String toString()
      Returns a string representation of the classifier.
      覆盖:
      toString 在类中 Object
      返回:
      a string representation of the classifier
    • getRevision

      public String getRevision()
      Returns the revision string.
      指定者:
      getRevision 在接口中 RevisionHandler
      覆盖:
      getRevision 在类中 Classifier
      返回:
      the revision
    • main

      public static void main(String[] argv)
      Main method for testing this class.
      参数:
      argv - the options