weka.classifiers.functions

Class IsotonicRegression

java.lang.Object

weka.classifiers.Classifier

weka.classifiers.functions.IsotonicRegression

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

Constructor Summary

Constructors

Constructor and Description
IsotonicRegression()

Method Summary

Modifier and Type	Method and 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 classifier
static void	main(java.lang.String[] argv) Main method for testing this class
java.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

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

IsotonicRegression

public IsotonicRegression()

Method Detail

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

classifyInstance

public double classifyInstance(Instance inst)
                        throws java.lang.Exception

Generate a prediction for the supplied instance.

Overrides:

classifyInstance in class Classifier

Parameters:

inst - the instance to predict.

Returns:

the prediction

Throws:

java.lang.Exception - if an error occurs

getCapabilities

public Capabilities getCapabilities()

Returns default capabilities of the classifier.

Specified by:

getCapabilities in interface CapabilitiesHandler

Overrides:

getCapabilities in class Classifier

Returns:

the capabilities of this classifier

See Also:

Capabilities

buildClassifier

public void buildClassifier(Instances insts)
                     throws java.lang.Exception

Builds an isotonic regression model given the supplied training data.

Specified by:

buildClassifier in class Classifier

Parameters:

insts - the training data.

Throws:

java.lang.Exception - if an error occurs

toString

public java.lang.String toString()

Returns a description of this classifier as a string

Overrides:

toString in class java.lang.Object

Returns:

a description of the classifier.

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class Classifier

Returns:

the revision

main

public static void main(java.lang.String[] argv)

Main method for testing this class

Parameters:

argv - options