类 OrdinalClassClassifier
java.lang.Object
weka.classifiers.Classifier
weka.classifiers.SingleClassifierEnhancer
weka.classifiers.meta.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:
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:
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构造器概要
构造器 -
方法概要
修饰符和类型方法说明void
buildClassifier
(Instances insts) Builds the classifiers.double[]
Returns the distribution for an instance.Returns default capabilities of the classifier.String[]
Gets the current settings of the Classifier.Returns the revision string.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.Returns a string describing this attribute evaluatorReturns an enumeration describing the available options.static void
Main method for testing this class.void
setOptions
(String[] options) Parses a given list of options.toString()
Prints the classifiers.从类继承的方法 weka.classifiers.SingleClassifierEnhancer
classifierTipText, getClassifier, setClassifier
从类继承的方法 weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug
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构造器详细资料
-
OrdinalClassClassifier
public OrdinalClassClassifier()Default constructor.
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方法详细资料
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globalInfo
Returns a string describing this attribute evaluator- 返回:
- a description of the evaluator suitable for displaying in the explorer/experimenter gui
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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
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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
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
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distributionForInstance
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
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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.
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setOptions
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
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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
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toString
Prints the classifiers. -
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
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main
Main method for testing this class.- 参数:
argv
- the options
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