Package weka.classifiers.functions
Class IsotonicRegression
- java.lang.Object
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- weka.classifiers.Classifier
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- weka.classifiers.functions.IsotonicRegression
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- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,CapabilitiesHandler
,OptionHandler
,RevisionHandler
,WeightedInstancesHandler
public class IsotonicRegression extends Classifier implements WeightedInstancesHandler
Learns an isotonic regression model. Picks the attribute that results in the lowest squared error. Missing values are not allowed. Can only deal with numeric attributes.Considers the monotonically increasing case as well as the monotonicallydecreasing case Valid options are:-D If set, classifier is run in debug mode and may output additional info to the console
- Version:
- $Revision: 5523 $
- Author:
- Eibe Frank (eibe@cs.waikato.ac.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description IsotonicRegression()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description void
buildClassifier(Instances insts)
Builds an isotonic regression model given the supplied training data.double
classifyInstance(Instance inst)
Generate a prediction for the supplied instance.Capabilities
getCapabilities()
Returns default capabilities of the classifier.java.lang.String
getRevision()
Returns the revision string.java.lang.String
globalInfo()
Returns a string describing this classifierstatic void
main(java.lang.String[] argv)
Main method for testing this classjava.lang.String
toString()
Returns a description of this classifier as a string-
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 this classifier- Returns:
- a description of the classifier suitable for displaying in the explorer/experimenter gui
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classifyInstance
public double classifyInstance(Instance inst) throws java.lang.Exception
Generate a prediction for the supplied instance.- Overrides:
classifyInstance
in classClassifier
- Parameters:
inst
- the instance to predict.- Returns:
- the prediction
- Throws:
java.lang.Exception
- if an error occurs
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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 insts) throws java.lang.Exception
Builds an isotonic regression model given the supplied training data.- Specified by:
buildClassifier
in classClassifier
- Parameters:
insts
- the training data.- Throws:
java.lang.Exception
- if an error occurs
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toString
public java.lang.String toString()
Returns a description of this classifier as a string- Overrides:
toString
in classjava.lang.Object
- Returns:
- a description 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
- options
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