Package org.aksw.limes.core.ml.algorithm

Class ACIDS

java.lang.Object

org.aksw.limes.core.ml.algorithm.ACoreMLAlgorithm

org.aksw.limes.core.ml.algorithm.ACIDS

public class ACIDS
extends ACoreMLAlgorithm

Field Summary

Fields inherited from class org.aksw.limes.core.ml.algorithm.ACoreMLAlgorithm

configuration, learningParameters, logger, sourceCache, targetCache

Constructor Summary

Constructors

Constructor	Description
ACIDS()

Method Summary

Modifier and Type	Method	Description
protected MLResults	activeLearn()	Learning method for supervised active core ML algorithm implementations Normally, it is used as a first step to initialize the ML model before going through the active learning process
protected MLResults	activeLearn(AMapping oracleMapping)	Learning method for supervised active core ML algorithm implementations.
protected String	getName()	Name of the core ML algorithm.
protected AMapping	getNextExamples(int size)	Get a set of examples to be added to the mapping.
protected void	init(List<LearningParameter> lp, ACache source, ACache target)	Initialize the core ML algorithm.
protected MLResults	learn(PseudoFMeasure pfm)	Learning method for unsupervised core ML algorithm implementations.
protected MLResults	learn(AMapping trainingData)	Learning method for supervised core ML algorithm implementations, where the confidence values for each pair in the trainingData determine its truth degree.
protected AMapping	predict(ACache source, ACache target, MLResults mlModel)	Predict/generate links from source to target based on mlModel.
void	setDefaultParameters()	Set default ACoreMLAlgorithm parameters values
protected boolean	supports(MLImplementationType mlType)	Check whether the mlType is supported.

Methods inherited from class org.aksw.limes.core.ml.algorithm.ACoreMLAlgorithm

getConfiguration, getParameter, getParameters, getSourceCache, getTargetCache, setConfiguration, setParameter

Methods inherited from class java.lang.Object

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

Constructor Detail

ACIDS

public ACIDS()

Method Detail

getName

protected String getName()

Description copied from class: ACoreMLAlgorithm

Name of the core ML algorithm.

Specified by:

getName in class ACoreMLAlgorithm

Returns:

Name of the core ML algorithm.

init

protected void init(List<LearningParameter> lp,
                    ACache source,
                    ACache target)

Description copied from class: ACoreMLAlgorithm

Initialize the core ML algorithm.

Overrides:

init in class ACoreMLAlgorithm

Parameters:

lp - learning parameters

source - the source cache

target - the target cache

learn

protected MLResults learn(AMapping trainingData)

Description copied from class: ACoreMLAlgorithm

Learning method for supervised core ML algorithm implementations, where the confidence values for each pair in the trainingData determine its truth degree.

Specified by:

learn in class ACoreMLAlgorithm

Parameters:

trainingData - used for learning

Returns:

wrap with results

learn

protected MLResults learn(PseudoFMeasure pfm)
                   throws UnsupportedMLImplementationException

Description copied from class: ACoreMLAlgorithm

Learning method for unsupervised core ML algorithm implementations.

Specified by:

learn in class ACoreMLAlgorithm

Parameters:

pfm - pseudo F-measure for unsupervised learning

Returns:

wrap with results

Throws:

UnsupportedMLImplementationException - if ML implementation is not supported

predict

protected AMapping predict(ACache source,
                           ACache target,
                           MLResults mlModel)

Description copied from class: ACoreMLAlgorithm

Predict/generate links from source to target based on mlModel.

Specified by:

predict in class ACoreMLAlgorithm

Parameters:

source - Cache

target - Cache

mlModel - result of training phase

Returns:

the mapping from source to target

supports

protected boolean supports(MLImplementationType mlType)

Description copied from class: ACoreMLAlgorithm

Check whether the mlType is supported.

Specified by:

supports in class ACoreMLAlgorithm

Parameters:

mlType - machine learning implementation type

Returns:

a boolean value

getNextExamples

protected AMapping getNextExamples(int size)

Description copied from class: ACoreMLAlgorithm

Get a set of examples to be added to the mapping.

Specified by:

getNextExamples in class ACoreMLAlgorithm

Parameters:

size - of the examples

Returns:

the mapping

activeLearn

protected MLResults activeLearn(AMapping oracleMapping)

Description copied from class: ACoreMLAlgorithm

Learning method for supervised active core ML algorithm implementations.

Specified by:

activeLearn in class ACoreMLAlgorithm

Parameters:

oracleMapping - mapping from the oracle

Returns:

wrap with results

setDefaultParameters

public void setDefaultParameters()

Description copied from class: ACoreMLAlgorithm

Set default ACoreMLAlgorithm parameters values

Specified by:

setDefaultParameters in class ACoreMLAlgorithm

activeLearn

protected MLResults activeLearn()
                         throws UnsupportedMLImplementationException

Description copied from class: ACoreMLAlgorithm

Learning method for supervised active core ML algorithm implementations Normally, it is used as a first step to initialize the ML model before going through the active learning process

Specified by:

activeLearn in class ACoreMLAlgorithm

Returns:

wrap with results

Throws:

UnsupportedMLImplementationException - if ML implementation is not supported