meka.classifiers.multilabel.meta

Class DeepML

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.MultilabelClassifier

meka.classifiers.multilabel.NN.AbstractNeuralNet

meka.classifiers.multilabel.NN.AbstractDeepNeuralNet

meka.classifiers.multilabel.meta.DeepML

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.classifiers.Classifier, weka.core.CapabilitiesHandler, weka.core.OptionHandler, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler

public class DeepML
extends AbstractDeepNeuralNet
implements weka.core.Randomizable, weka.core.TechnicalInformationHandler

DeepML.java - Deep Multi-label Classification. Trains an RBM/DBM on the feature space of the training data; then train on it (with the labels) with whichever multi-label classifier is specified.
See: Jesse Read and Jaakko Hollmen. A Deep Interpretation of Classifier Chains. IDA 2014.
The first RBM will have h = d / 2 hidden units, the second h = h / 2, and so on, where d is the number of original (visible) input feature attributes.

Version:

December 2012

Author:

Jesse Read

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DeepML()

Method Summary

Methods

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances D)
double[]	distributionForInstance(weka.core.Instance xy)
int	getSeed()
weka.core.TechnicalInformation	getTechnicalInformation()
java.lang.String	globalInfo() Description to display in the GUI.
static void	main(java.lang.String[] args)
void	setSeed(int s)
java.lang.String	toString()

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

getN, getOptions, listOptions, setOptions

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

getE, getH, setE, setH

Methods inherited from class meka.classifiers.multilabel.MultilabelClassifier

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

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, getClassifier, setClassifier

Methods inherited from class weka.classifiers.AbstractClassifier

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

Methods inherited from class java.lang.Object

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

Constructor Detail

DeepML

public DeepML()

Method Detail

buildClassifier

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

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Specified by:

buildClassifier in class MultilabelClassifier

Throws:

java.lang.Exception

distributionForInstance

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

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Specified by:

distributionForInstance in class MultilabelClassifier

Throws:

java.lang.Exception

toString

public java.lang.String toString()

Overrides:

toString in class AbstractNeuralNet

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

globalInfo

public java.lang.String globalInfo()

Description copied from class: MultilabelClassifier

Description to display in the GUI.

Overrides:

globalInfo in class MultilabelClassifier

Returns:

the description

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

main

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

Throws:

java.lang.Exception