类 NaiveBayes

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

Class for a Naive Bayes classifier using estimator classes. Numeric estimator precision values are chosen based on analysis of the training data. For this reason, the classifier is not an UpdateableClassifier (which in typical usage are initialized with zero training instances) -- if you need the UpdateableClassifier functionality, use the NaiveBayesUpdateable classifier. The NaiveBayesUpdateable classifier will use a default precision of 0.1 for numeric attributes when buildClassifier is called with zero training instances.

For more information on Naive Bayes classifiers, see

George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

BibTeX:

 @inproceedings{John1995,
    address = {San Mateo},
    author = {George H. John and Pat Langley},
    booktitle = {Eleventh Conference on Uncertainty in Artificial Intelligence},
    pages = {338-345},
    publisher = {Morgan Kaufmann},
    title = {Estimating Continuous Distributions in Bayesian Classifiers},
    year = {1995}
 }
 

Valid options are:

 -K
  Use kernel density estimator rather than normal
  distribution for numeric attributes
 -D
  Use supervised discretization to process numeric attributes
 
 -O
  Display model in old format (good when there are many classes)
 
版本:
$Revision: 5516 $
作者:
Len Trigg (trigg@cs.waikato.ac.nz), Eibe Frank (eibe@cs.waikato.ac.nz)
另请参阅:
  • 构造器详细资料

    • NaiveBayes

      public NaiveBayes()
  • 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
    • updateClassifier

      public void updateClassifier(Instance instance) throws Exception
      Updates the classifier with the given instance.
      参数:
      instance - the new training instance to include in the model
      抛出:
      Exception - if the instance could not be incorporated in the model.
    • 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
    • listOptions

      public Enumeration listOptions()
      Returns an enumeration describing the available options.
      指定者:
      listOptions 在接口中 OptionHandler
      覆盖:
      listOptions 在类中 Classifier
      返回:
      an enumeration of all the available options.
    • setOptions

      public void setOptions(String[] options) throws Exception
      Parses a given list of options.

      Valid options are:

       -K
        Use kernel density estimator rather than normal
        distribution for numeric attributes
       -D
        Use supervised discretization to process numeric attributes
       
       -O
        Display model in old format (good when there are many classes)
       
      指定者:
      setOptions 在接口中 OptionHandler
      覆盖:
      setOptions 在类中 Classifier
      参数:
      options - the list of options as an array of strings
      抛出:
      Exception - if an option is not supported
    • getOptions

      public String[] getOptions()
      Gets the current settings of the classifier.
      指定者:
      getOptions 在接口中 OptionHandler
      覆盖:
      getOptions 在类中 Classifier
      返回:
      an array of strings suitable for passing to setOptions
    • toString

      public String toString()
      Returns a description of the classifier.
      覆盖:
      toString 在类中 Object
      返回:
      a description of the classifier as a string.
    • useKernelEstimatorTipText

      public String useKernelEstimatorTipText()
      Returns the tip text for this property
      返回:
      tip text for this property suitable for displaying in the explorer/experimenter gui
    • getUseKernelEstimator

      public boolean getUseKernelEstimator()
      Gets if kernel estimator is being used.
      返回:
      Value of m_UseKernelEstimatory.
    • setUseKernelEstimator

      public void setUseKernelEstimator(boolean v)
      Sets if kernel estimator is to be used.
      参数:
      v - Value to assign to m_UseKernelEstimatory.
    • useSupervisedDiscretizationTipText

      public String useSupervisedDiscretizationTipText()
      Returns the tip text for this property
      返回:
      tip text for this property suitable for displaying in the explorer/experimenter gui
    • getUseSupervisedDiscretization

      public boolean getUseSupervisedDiscretization()
      Get whether supervised discretization is to be used.
      返回:
      true if supervised discretization is to be used.
    • setUseSupervisedDiscretization

      public void setUseSupervisedDiscretization(boolean newblah)
      Set whether supervised discretization is to be used.
      参数:
      newblah - true if supervised discretization is to be used.
    • displayModelInOldFormatTipText

      public String displayModelInOldFormatTipText()
      Returns the tip text for this property
      返回:
      tip text for this property suitable for displaying in the explorer/experimenter gui
    • setDisplayModelInOldFormat

      public void setDisplayModelInOldFormat(boolean d)
      Set whether to display model output in the old, original format.
      参数:
      d - true if model ouput is to be shown in the old format
    • getDisplayModelInOldFormat

      public boolean getDisplayModelInOldFormat()
      Get whether to display model output in the old, original format.
      返回:
      true if model ouput is to be shown in the old format
    • 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