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

Class BooleanEuclid

java.lang.Object

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

org.aksw.limes.core.ml.algorithm.euclid.LinearEuclid

org.aksw.limes.core.ml.algorithm.euclid.BooleanEuclid

Direct Known Subclasses:

MeshEuclid

public class BooleanEuclid
extends LinearEuclid

Class wraps around EUCLIDs boolean classifier to abide LIMES ml interface

Author:

Klaus Lyko (lyko@informatik.uni-leipzig.de)

Field Summary

Fields

Modifier and Type	Field	Description
protected static org.apache.log4j.Logger	logger
static String	MAX_THRESHOLD

Fields inherited from class org.aksw.limes.core.ml.algorithm.euclid.LinearEuclid

BETA, ITERATIONS_MAX, KAPPA, LEARNING_RATE, lsc, MIN_COVERAGE, MIN_THRESHOLD, STRICT

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

configuration, learningParameters, sourceCache, targetCache

Constructor Summary

Constructors

Constructor	Description
BooleanEuclid()

Method Summary

Modifier and Type	Method	Description
protected String	getName()	Name of the core ML algorithm.
protected void	init(List<LearningParameter> learningParameters, ACache sourceCache, ACache targetCache)	Initialize the core ML algorithm.
protected MLResults	learn(PseudoFMeasure pfm)	Learning method for unsupervised core ML algorithm implementations.
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

Methods inherited from class org.aksw.limes.core.ml.algorithm.euclid.LinearEuclid

activeLearn, activeLearn, configureEuclid, getNextExamples, learn, learn, supports

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

Field Detail

logger

protected static org.apache.log4j.Logger logger

MAX_THRESHOLD

public static final String MAX_THRESHOLD

See Also:

Constant Field Values

Constructor Detail

BooleanEuclid

public BooleanEuclid()

Method Detail

init

protected void init(List<LearningParameter> learningParameters,
                    ACache sourceCache,
                    ACache targetCache)

Description copied from class: ACoreMLAlgorithm

Initialize the core ML algorithm.

Overrides:

init in class LinearEuclid

Parameters:

learningParameters - learning parameters

sourceCache - the source cache

targetCache - the target cache

setDefaultParameters

public void setDefaultParameters()

Description copied from class: ACoreMLAlgorithm

Set default ACoreMLAlgorithm parameters values

Overrides:

setDefaultParameters in class LinearEuclid

learn

protected MLResults learn(PseudoFMeasure pfm)
                   throws UnsupportedMLImplementationException

Description copied from class: ACoreMLAlgorithm

Learning method for unsupervised core ML algorithm implementations.

Overrides:

learn in class LinearEuclid

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.

Overrides:

predict in class LinearEuclid

Parameters:

source - Cache

target - Cache

mlModel - result of training phase

Returns:

the mapping from source to target

getName

protected String getName()

Description copied from class: ACoreMLAlgorithm

Name of the core ML algorithm.

Overrides:

getName in class LinearEuclid

Returns:

Name of the core ML algorithm.