Package weka.classifiers.lazy
Class IB1
- java.lang.Object
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- weka.classifiers.Classifier
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- weka.classifiers.lazy.IB1
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- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,UpdateableClassifier
,CapabilitiesHandler
,OptionHandler
,RevisionHandler
,TechnicalInformationHandler
public class IB1 extends Classifier implements UpdateableClassifier, TechnicalInformationHandler
Nearest-neighbour classifier. Uses normalized Euclidean distance to find the training instance closest to the given test instance, and predicts the same class as this training instance. If multiple instances have the same (smallest) distance to the test instance, the first one found is used.
For more information, see
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66. BibTeX:@article{Aha1991, author = {D. Aha and D. Kibler}, journal = {Machine Learning}, pages = {37-66}, title = {Instance-based learning algorithms}, volume = {6}, year = {1991} }
Valid options are:-D If set, classifier is run in debug mode and may output additional info to the console
- Version:
- $Revision: 5525 $
- Author:
- Stuart Inglis (singlis@cs.waikato.ac.nz), Len Trigg (trigg@cs.waikato.ac.nz), Eibe Frank (eibe@cs.waikato.ac.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description IB1()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description void
buildClassifier(Instances instances)
Generates the classifier.double
classifyInstance(Instance instance)
Classifies the given test 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()
Returns a description of this classifier.void
updateClassifier(Instance instance)
Updates the classifier.-
Methods inherited from class weka.classifiers.Classifier
debugTipText, distributionForInstance, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions
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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 classClassifier
- Returns:
- the capabilities of this classifier
- See Also:
Capabilities
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buildClassifier
public void buildClassifier(Instances instances) throws java.lang.Exception
Generates the classifier.- Specified by:
buildClassifier
in classClassifier
- Parameters:
instances
- set of instances serving as training data- Throws:
java.lang.Exception
- if the classifier has not been generated successfully
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updateClassifier
public void updateClassifier(Instance instance) throws java.lang.Exception
Updates the classifier.- Specified by:
updateClassifier
in interfaceUpdateableClassifier
- Parameters:
instance
- the instance to be put into the classifier- Throws:
java.lang.Exception
- if the instance could not be included successfully
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classifyInstance
public double classifyInstance(Instance instance) throws java.lang.Exception
Classifies the given test instance.- Overrides:
classifyInstance
in classClassifier
- Parameters:
instance
- the instance to be classified- Returns:
- the predicted class for the instance
- Throws:
java.lang.Exception
- if the instance can't be classified
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toString
public java.lang.String toString()
Returns a description of this classifier.- Overrides:
toString
in classjava.lang.Object
- Returns:
- a description of this classifier as a string.
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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
- should contain command line arguments for evaluation (see Evaluation).
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