类 OrdinalClassClassifier

所有已实现的接口:
Serializable, Cloneable, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler

public class OrdinalClassClassifier extends SingleClassifierEnhancer implements OptionHandler, TechnicalInformationHandler
Meta classifier that allows standard classification algorithms to be applied to ordinal class problems.

For more information see:

Eibe Frank, Mark Hall: A Simple Approach to Ordinal Classification. In: 12th European Conference on Machine Learning, 145-156, 2001.

BibTeX:

 @inproceedings{Frank2001,
    author = {Eibe Frank and Mark Hall},
    booktitle = {12th European Conference on Machine Learning},
    pages = {145-156},
    publisher = {Springer},
    title = {A Simple Approach to Ordinal Classification},
    year = {2001}
 }
 

Valid options are:

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
 -W
  Full name of base classifier.
  (default: weka.classifiers.trees.J48)
 
 Options specific to classifier weka.classifiers.trees.J48:
 
 -U
  Use unpruned tree.
 -C <pruning confidence>
  Set confidence threshold for pruning.
  (default 0.25)
 -M <minimum number of instances>
  Set minimum number of instances per leaf.
  (default 2)
 -R
  Use reduced error pruning.
 -N <number of folds>
  Set number of folds for reduced error
  pruning. One fold is used as pruning set.
  (default 3)
 -B
  Use binary splits only.
 -S
  Don't perform subtree raising.
 -L
  Do not clean up after the tree has been built.
 -A
  Laplace smoothing for predicted probabilities.
 -Q <seed>
  Seed for random data shuffling (default 1).
版本:
$Revision 1.0 $
作者:
Mark Hall
另请参阅:
  • 构造器详细资料

    • OrdinalClassClassifier

      public OrdinalClassClassifier()
      Default constructor.
  • 方法详细资料

    • globalInfo

      public String globalInfo()
      Returns a string describing this attribute evaluator
      返回:
      a description of the evaluator 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 SingleClassifierEnhancer
      返回:
      the capabilities of this classifier
      另请参阅:
    • buildClassifier

      public void buildClassifier(Instances insts) throws Exception
      Builds the classifiers.
      指定者:
      buildClassifier 在类中 Classifier
      参数:
      insts - the training data.
      抛出:
      Exception - if a classifier can't be built
    • distributionForInstance

      public double[] distributionForInstance(Instance inst) throws Exception
      Returns the distribution for an instance.
      覆盖:
      distributionForInstance 在类中 Classifier
      参数:
      inst - the instance to compute the distribution for
      返回:
      the class distribution for the given instance
      抛出:
      Exception - if the distribution can't be computed successfully
    • 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 SingleClassifierEnhancer
      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:

       -D
        If set, classifier is run in debug mode and
        may output additional info to the console
       -W
        Full name of base classifier.
        (default: weka.classifiers.trees.J48)
       
       Options specific to classifier weka.classifiers.trees.J48:
       
       -U
        Use unpruned tree.
       -C <pruning confidence>
        Set confidence threshold for pruning.
        (default 0.25)
       -M <minimum number of instances>
        Set minimum number of instances per leaf.
        (default 2)
       -R
        Use reduced error pruning.
       -N <number of folds>
        Set number of folds for reduced error
        pruning. One fold is used as pruning set.
        (default 3)
       -B
        Use binary splits only.
       -S
        Don't perform subtree raising.
       -L
        Do not clean up after the tree has been built.
       -A
        Laplace smoothing for predicted probabilities.
       -Q <seed>
        Seed for random data shuffling (default 1).
      指定者:
      setOptions 在接口中 OptionHandler
      覆盖:
      setOptions 在类中 SingleClassifierEnhancer
      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 SingleClassifierEnhancer
      返回:
      an array of strings suitable for passing to setOptions
    • toString

      public String toString()
      Prints the classifiers.
      覆盖:
      toString 在类中 Object
      返回:
      a string representation of this 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