weka.classifiers.meta
Class LogTargetRegressor

java.lang.Object
  weka.classifiers.AbstractClassifier
      weka.classifiers.SingleClassifierEnhancer
          weka.classifiers.meta.LogTargetRegressor

All Implemented Interfaces:

Serializable, Cloneable, weka.classifiers.Classifier, weka.core.CapabilitiesHandler, weka.core.OptionHandler, weka.core.RevisionHandler

public class LogTargetRegressor
extends weka.classifiers.SingleClassifierEnhancer

Takes logs of all numeric attributes in the data.

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.rules.ZeroR)

 Options specific to classifier weka.classifiers.rules.ZeroR:
 

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console

Version:

$Revision: 4584 $

Author:

Eibe Frank

See Also:

Serialized Form

Field Summary

static double	ATT_CONSTANT Constant to add to attributes before logarithm is taken.
static double	CLASS_CONSTANT Constant to add to class before logarithm is taken.

Fields inherited from class weka.classifiers.SingleClassifierEnhancer

m_Classifier

Fields inherited from class weka.classifiers.AbstractClassifier

m_Debug

Constructor Summary

LogTargetRegressor()

Method Summary

void	buildClassifier(weka.core.Instances data) Builds the classifier.
double	classifyInstance(weka.core.Instance inst) Returns the prediction.
String	getRevision()
String	globalInfo() Returns a string describing classifier.
static void	main(String[] argv) Main method for running this class.
String	toString() Returns description of classifier.
weka.core.Instance	transform(weka.core.Instance inst) Transform instance.

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, defaultClassifierString, getCapabilities, getClassifier, getClassifierSpec, getOptions, listOptions, setClassifier, setOptions

Methods inherited from class weka.classifiers.AbstractClassifier

debugTipText, distributionForInstance, forName, getDebug, makeCopies, makeCopy, runClassifier, setDebug

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

ATT_CONSTANT

public static final double ATT_CONSTANT

Constant to add to attributes before logarithm is taken.

See Also:

Constant Field Values

CLASS_CONSTANT

public static final double CLASS_CONSTANT

Constant to add to class before logarithm is taken.

See Also:

Constant Field Values

Constructor Detail

LogTargetRegressor

public LogTargetRegressor()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing classifier.

Returns:

a description suitable for displaying in the explorer/experimenter gui

transform

public weka.core.Instance transform(weka.core.Instance inst)

Transform instance.

Parameters:

inst - the instance to transform

Returns:

the transformed instance

buildClassifier

public void buildClassifier(weka.core.Instances data)
                     throws Exception

Builds the classifier.

Parameters:

data - the training data

Throws:

Exception - if something goes wrong

classifyInstance

public double classifyInstance(weka.core.Instance inst)
                        throws Exception

Returns the prediction.

Specified by:

classifyInstance in interface weka.classifiers.Classifier

Overrides:

classifyInstance in class weka.classifiers.AbstractClassifier

Parameters:

inst - the instance to predict

Returns:

the prediction

Throws:

Exception - if prediction fails

toString

public String toString()

Returns description of classifier.

Overrides:

toString in class Object

Returns:

the description

getRevision

public String getRevision()

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class weka.classifiers.AbstractClassifier

main

public static void main(String[] argv)

Main method for running this class.

Parameters:

argv - the options