meka.classifiers.multilabel.NN

Class AbstractNeuralNet

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.ProblemTransformationMethod

meka.classifiers.multilabel.NN.AbstractNeuralNet

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

Direct Known Subclasses:

AbstractDeepNeuralNet, BPNN

public abstract class AbstractNeuralNet
extends ProblemTransformationMethod
implements weka.core.Randomizable

AbstractNeuralNet.java - Provides common options, constants, and other functions for NNs.

Version:

December 2012

Author:

Jesse Read

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected int	m_E number of epochs
protected int	m_H number of hidden units
protected double	m_M momentum
protected double	m_R learning rate
protected int	m_Seed random 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
AbstractNeuralNet()

Method Summary

Modifier and Type	Method and Description
String	eTipText()
int	getE()
int	getH()
double	getLearningRate()
double	getMomentum()
String[]	getOptions()
int	getSeed()
String	hTipText()
String	learningRateTipText()
Enumeration	listOptions()
String	momentumTipText()
String	seedTipText()
void	setE(int n)
void	setH(int h)
void	setLearningRate(double r)
void	setMomentum(double m)
void	setOptions(String[] options)
void	setSeed(int s)
String	toString()

Methods inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

buildClassifier, defaultClassifierString, distributionForInstance, evaluation, getCapabilities, getModel, getRevision, getTemplate, globalInfo, 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

m_H

protected int m_H

number of hidden units

m_E

protected int m_E

number of epochs

m_R

protected double m_R

learning rate

m_M

protected double m_M

momentum

m_Seed

protected int m_Seed

random seed

Constructor Detail

AbstractNeuralNet

public AbstractNeuralNet()

Method Detail

setH

public void setH(int h)

getH

public int getH()

hTipText

public String hTipText()

setE

public void setE(int n)

getE

public int getE()

eTipText

public String eTipText()

setLearningRate

public void setLearningRate(double r)

getLearningRate

public double getLearningRate()

learningRateTipText

public String learningRateTipText()

setMomentum

public void setMomentum(double m)

getMomentum

public double getMomentum()

momentumTipText

public String momentumTipText()

getSeed

public int getSeed()

Specified by:

getSeed in interface weka.core.Randomizable

setSeed

public void setSeed(int s)

Specified by:

setSeed in interface weka.core.Randomizable

seedTipText

public String seedTipText()

toString

public String toString()

Overrides:

toString in class ProblemTransformationMethod

listOptions

public Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class weka.classifiers.SingleClassifierEnhancer

setOptions

public void setOptions(String[] options)
                throws Exception

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class weka.classifiers.SingleClassifierEnhancer

Throws:

Exception

getOptions

public String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class weka.classifiers.SingleClassifierEnhancer