classifier

Class AbstractWekaClassifier

java.lang.Object

classifier.Classifier

classifier.AbstractWekaClassifier

Direct Known Subclasses:

WekaClassifier, WekaRandomForest, WekaRegressionTree

public abstract class AbstractWekaClassifier
extends Classifier

Nested Class Summary

Nested classes/interfaces inherited from class classifier.Classifier

Classifier.ProbabilityType

Constructor Summary

Constructors

Constructor and Description
AbstractWekaClassifier()

Method Summary

Methods

Modifier and Type	Method and Description
ClassifierParams	getClassifierParams() Will get called AFTER classifier training to get classifier specific parameters.
Jama.Matrix	getLogLikelihoodsM() Get a matrix of log likelihoods from the most recent call to RunClassification(Matrix )
Jama.Matrix	getProbabilitiesM() Get a matrix of probabilities from the most recent call to RunClassification(Matrix )
Classifier.ProbabilityType	getProbabilityType() Get the type of probability returned by a classifier.
weka.classifiers.AbstractClassifier	getWekaClassifier()
boolean	hasParamsDialog()
int	runClassification(double[] params) Run the classification on single parameter value.
int[]	runClassification(double[][] params) Run classification on multiple parameter values.
int[]	runClassification(Jama.Matrix data)
boolean	setClassifierParams(ClassifierParams classifierParams) Will be called to load stored parameters into a classifier.
void	setWekaClassifier(weka.classifiers.AbstractClassifier wekaClassifier)
boolean	showParamsDialog(java.awt.Window parent)
java.lang.String	trainClassification(Jama.Matrix matrix, int[] group) /** Train the classifier.

Methods inherited from class classifier.Classifier

getClassifierName, getLogLikelihoods1, getLogLikelihoods2, getMinimumProbability, getProbabilities1, getProbabilities2, setMinimumProbability, toString, trainClassification

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractWekaClassifier

public AbstractWekaClassifier()

Method Detail

getWekaClassifier

public weka.classifiers.AbstractClassifier getWekaClassifier()

Returns:

the wekaClassifier

setWekaClassifier

public void setWekaClassifier(weka.classifiers.AbstractClassifier wekaClassifier)

Parameters:

wekaClassifier - the wekaClassifier to set

getLogLikelihoodsM

public Jama.Matrix getLogLikelihoodsM()

Description copied from class: Classifier

Get a matrix of log likelihoods from the most recent call to RunClassification(Matrix )

This version will return a matrix of data, which should be from a set of classifications.

Specified by:

getLogLikelihoodsM in class Classifier

Returns:

log likelihoods matrix.

getProbabilitiesM

public Jama.Matrix getProbabilitiesM()

Description copied from class: Classifier

Get a matrix of probabilities from the most recent call to RunClassification(Matrix )

This version will return a matrix of data, which should be from a set of classifications.

Specified by:

getProbabilitiesM in class Classifier

Returns:

probabilities matrix.

getProbabilityType

public Classifier.ProbabilityType getProbabilityType()

Description copied from class: Classifier

Get the type of probability returned by a classifier. this will either be NORMALISED, ABSOLUTE or UNAVAILABLE in which case the classifier should still return data (to stop things crashing) but should return arrays / Matrixes with zeros in all columns except the selected item, which should be 1.

Specified by:

getProbabilityType in class Classifier

Returns:

type of probability returned.

runClassification

public int[] runClassification(Jama.Matrix data)

Specified by:

runClassification in class Classifier

runClassification

public int runClassification(double[] params)

Description copied from class: Classifier

Run the classification on single parameter value.

Return true if the classification completed OK, false otherwise. The classification results can be obtained through calls to getClassLikelyhoods() and getBestSpeciesBet();

Overrides:

runClassification in class Classifier

Parameters:

params - array of input parameters

Returns:

true if classification completed successfully.

runClassification

public int[] runClassification(double[][] params)

Description copied from class: Classifier

Run classification on multiple parameter values.

Overrides:

runClassification in class Classifier

Parameters:

params - array of input parameters

Returns:

true if completed successfully

getClassifierParams

public ClassifierParams getClassifierParams()

Description copied from class: Classifier

Will get called AFTER classifier training to get classifier specific parameters.

Specified by:

getClassifierParams in class Classifier

Returns:

classifier specific parameters.

setClassifierParams

public boolean setClassifierParams(ClassifierParams classifierParams)

Description copied from class: Classifier

Will be called to load stored parameters into a classifier.

Specified by:

setClassifierParams in class Classifier

Parameters:

classifierParams - classifier parameters.

Returns:

Return true if parameters loaded OK. Reasons for not loading include the classifier being incompatible with the classifier parameters or the parameters not being present (e.t. null matrixes)

trainClassification

public java.lang.String trainClassification(Jama.Matrix matrix,
                                   int[] group)

Description copied from class: Classifier

/** Train the classifier.

Specified by:

trainClassification in class Classifier

Parameters:

matrix - matrix of training data (each row one training point, each col one parameter

group - truth

Returns:

null if OK or error string

hasParamsDialog

public boolean hasParamsDialog()

Overrides:

hasParamsDialog in class Classifier

showParamsDialog

public boolean showParamsDialog(java.awt.Window parent)

Overrides:

showParamsDialog in class Classifier