meka.classifiers.multilabel

Class DBPNN

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.ProblemTransformationMethod

meka.classifiers.multilabel.NN.AbstractNeuralNet

meka.classifiers.multilabel.NN.AbstractDeepNeuralNet

meka.classifiers.multilabel.DBPNN

All Implemented Interfaces:

Serializable, Cloneable, MultiLabelClassifier, weka.classifiers.Classifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler

public class DBPNN
extends AbstractDeepNeuralNet
implements weka.core.TechnicalInformationHandler

DBPNN.java - Deep Back-Propagation Neural Network. Use an RBM to pre-train the network, then plug in BPNN.
See: Geoffrey Hinton and Ruslan Salakhutdinov. Reducing the Dimensionality of Data with Neural Networks. Science. Vol 313(5786), pages 504 - 507. 2006.

Version:

December 2012

Author:

Jesse Read

See Also:

BPNN, Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected RBM	dbm
protected long	rbm_time

Fields inherited from class meka.classifiers.multilabel.NN.AbstractDeepNeuralNet

m_N

Fields inherited from class meka.classifiers.multilabel.NN.AbstractNeuralNet

m_E, m_H, m_M, m_R, m_Seed

Fields inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

m_InstancesTemplate

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
DBPNN()

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances D)
double[]	distributionForInstance(weka.core.Instance xy)
weka.core.TechnicalInformation	getTechnicalInformation()
String	globalInfo() Description to display in the GUI.
static void	main(String[] args)
protected static Jama.Matrix	trimBiases(Jama.Matrix A)
protected static Jama.Matrix[]	trimBiases(Jama.Matrix[] M)

Methods inherited from class meka.classifiers.multilabel.NN.AbstractDeepNeuralNet

getN, getOptions, listOptions, nTipText, setN, setOptions

Methods inherited from class meka.classifiers.multilabel.NN.AbstractNeuralNet

eTipText, getE, getH, getLearningRate, getMomentum, getSeed, hTipText, learningRateTipText, momentumTipText, seedTipText, setE, setH, setLearningRate, setMomentum, setSeed, toString

Methods inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

defaultClassifierString, evaluation, getCapabilities, getModel, getRevision, getTemplate, makeCopies, runClassifier, testCapabilities

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, defaultClassifierOptions, getClassifier, getClassifierSpec, postExecution, preExecution, setClassifier

Methods inherited from class weka.classifiers.AbstractClassifier

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

Methods inherited from class java.lang.Object

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

Methods inherited from interface meka.classifiers.multilabel.MultiLabelClassifier

debugTipText, getDebug, setDebug

Methods inherited from interface weka.classifiers.Classifier

classifyInstance

Field Detail

dbm

protected RBM dbm

rbm_time

protected long rbm_time

Constructor Detail

DBPNN

public DBPNN()

Method Detail

buildClassifier

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

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Specified by:

buildClassifier in class ProblemTransformationMethod

Throws:

Exception

distributionForInstance

public double[] distributionForInstance(weka.core.Instance xy)
                                 throws Exception

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Specified by:

distributionForInstance in class ProblemTransformationMethod

Throws:

Exception

trimBiases

protected static Jama.Matrix trimBiases(Jama.Matrix A)

trimBiases

protected static Jama.Matrix[] trimBiases(Jama.Matrix[] M)

globalInfo

public String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class ProblemTransformationMethod

Returns:

the description

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

main

public static void main(String[] args)
                 throws Exception

Throws:

Exception