meka.classifiers.multilabel.neurofuzzy

Class ARAMNetworkClass

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.neurofuzzy.ARAMNetworkClass

All Implemented Interfaces:

Serializable, Cloneable, IncrementalMultiLabelClassifier, MultiLabelClassifier, MultiLabelClassifierThreaded, weka.classifiers.Classifier, weka.classifiers.UpdateableClassifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.RevisionHandler

Direct Known Subclasses:

ARAMNetwork, ARAMNetworkfast, ARAMNetworkSparse, ARAMNetworkSparseH, ARAMNetworkSparseHT, ARAMNetworkSparseHT_Strange, ARAMNetworkSparseV, HARAMNetwork, WARAM, WvARAM

public abstract class ARAMNetworkClass
extends weka.classifiers.SingleClassifierEnhancer
implements MultiLabelClassifierThreaded, IncrementalMultiLabelClassifier

****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION. Class for a Naive Bayes classifier using estimator classes. Numeric estimator precision values are chosen based on analysis of the training data. For this reason, the classifier is not an UpdateableClassifier (which in typical usage are initialized with zero training instances) -- if you need the UpdateableClassifier functionality, use the NaiveBayesUpdateable classifier. The NaiveBayesUpdateable classifier will use a default precision of 0.1 for numeric attributes when buildClassifier is called with zero training instances.

For more information on Naive Bayes classifiers, see

George H. John and Pat Langley (1995). Estimating Continuous Distributions in Bayesian Classifiers. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence. pp. 338-345. Morgan Kaufmann, San Mateo.

Valid options are:

-K
Use kernel estimation for modelling numeric attributes rather than a single normal distribution.

-D
Use supervised discretization to process numeric attributes.

Version:

$Revision: 1.16 $ Modified by Rushi for use as a CN710 template

Author:

Len Trigg (trigg@cs.waikato.ac.nz), Eibe Frank (eibe@cs.waikato.ac.nz), Rushi Bhatt (rushi@cns.bu.edu)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected String	activity_report
protected int[]	neuronsactivated
protected double[]	neuronsactivity
int	numClasses
int	numFeatures
double	threshold

Fields inherited from class weka.classifiers.SingleClassifierEnhancer

m_Classifier

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, m_BatchSize, m_Debug, m_DoNotCheckCapabilities, m_numDecimalPlaces, NUM_DECIMAL_PLACES_DEFAULT

Constructor Summary

Constructors

Constructor and Description
ARAMNetworkClass()

Method Summary

Modifier and Type	Method and Description
void	testCapabilities(weka.core.Instances D) Generates the classifier.

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, defaultClassifierOptions, defaultClassifierString, getCapabilities, getClassifier, getClassifierSpec, getOptions, listOptions, postExecution, preExecution, setClassifier, setOptions

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, classifyInstance, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getRevision, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

Methods inherited from class java.lang.Object

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

Methods inherited from interface meka.classifiers.multilabel.MultiLabelClassifierThreaded

distributionForInstanceM, isThreaded, setThreaded

Methods inherited from interface meka.classifiers.multilabel.MultiLabelClassifier

debugTipText, getDebug, getModel, setDebug

Methods inherited from interface weka.classifiers.Classifier

buildClassifier, classifyInstance, distributionForInstance, getCapabilities

Methods inherited from interface weka.core.OptionHandler

getOptions, listOptions, setOptions

Methods inherited from interface weka.classifiers.UpdateableClassifier

updateClassifier

Field Detail

numFeatures

public int numFeatures

numClasses

public int numClasses

threshold

public double threshold

neuronsactivated

protected int[] neuronsactivated

neuronsactivity

protected double[] neuronsactivity

activity_report

protected String activity_report

Constructor Detail

ARAMNetworkClass

public ARAMNetworkClass()

Method Detail

testCapabilities

public void testCapabilities(weka.core.Instances D)
                      throws Exception

Generates the classifier.

Parameters:

instances - set of instances serving as training data

Throws:

Exception - if the classifier has not been generated successfully