Package weka.classifiers.meta
Class ClassificationViaRegression
- java.lang.Object
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- weka.classifiers.Classifier
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- weka.classifiers.SingleClassifierEnhancer
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- weka.classifiers.meta.ClassificationViaRegression
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- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,CapabilitiesHandler
,OptionHandler
,RevisionHandler
,TechnicalInformationHandler
public class ClassificationViaRegression extends SingleClassifierEnhancer implements TechnicalInformationHandler
Class for doing classification using regression methods. Class is binarized and one regression model is built for each class value. For more information, see, for example
E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76. BibTeX:@article{Frank1998, author = {E. Frank and Y. Wang and S. Inglis and G. Holmes and I.H. Witten}, journal = {Machine Learning}, number = {1}, pages = {63-76}, title = {Using model trees for classification}, volume = {32}, year = {1998} }
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.M5P)
Options specific to classifier weka.classifiers.trees.M5P:
-N Use unpruned tree/rules
-U Use unsmoothed predictions
-R Build regression tree/rule rather than a model tree/rule
-M <minimum number of instances> Set minimum number of instances per leaf (default 4)
-L Save instances at the nodes in the tree (for visualization purposes)
- Version:
- $Revision: 1.27 $
- Author:
- Eibe Frank (eibe@cs.waikato.ac.nz), Len Trigg (trigg@cs.waikato.ac.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description ClassificationViaRegression()
Default constructor.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description void
buildClassifier(Instances insts)
Builds the classifiers.double[]
distributionForInstance(Instance inst)
Returns the distribution for an instance.Capabilities
getCapabilities()
Returns default capabilities of the classifier.java.lang.String
getRevision()
Returns the revision string.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.java.lang.String
globalInfo()
Returns a string describing classifierstatic void
main(java.lang.String[] argv)
Main method for testing this class.java.lang.String
toString()
Prints the classifiers.-
Methods inherited from class weka.classifiers.SingleClassifierEnhancer
classifierTipText, getClassifier, getOptions, listOptions, setClassifier, setOptions
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Methods inherited from class weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug
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Method Detail
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globalInfo
public java.lang.String globalInfo()
Returns a string describing classifier- Returns:
- a description suitable for displaying in the explorer/experimenter gui
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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.- Specified by:
getTechnicalInformation
in interfaceTechnicalInformationHandler
- Returns:
- the technical information about this class
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getCapabilities
public Capabilities getCapabilities()
Returns default capabilities of the classifier.- Specified by:
getCapabilities
in interfaceCapabilitiesHandler
- Overrides:
getCapabilities
in classSingleClassifierEnhancer
- Returns:
- the capabilities of this classifier
- See Also:
Capabilities
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buildClassifier
public void buildClassifier(Instances insts) throws java.lang.Exception
Builds the classifiers.- Specified by:
buildClassifier
in classClassifier
- Parameters:
insts
- the training data.- Throws:
java.lang.Exception
- if a classifier can't be built
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distributionForInstance
public double[] distributionForInstance(Instance inst) throws java.lang.Exception
Returns the distribution for an instance.- Overrides:
distributionForInstance
in classClassifier
- Parameters:
inst
- the instance to get the distribution for- Returns:
- the computed distribution
- Throws:
java.lang.Exception
- if the distribution can't be computed successfully
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toString
public java.lang.String toString()
Prints the classifiers.- Overrides:
toString
in classjava.lang.Object
- Returns:
- a string representation of the classifier
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classClassifier
- Returns:
- the revision
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main
public static void main(java.lang.String[] argv)
Main method for testing this class.- Parameters:
argv
- the options for the learner
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