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

Class MeshEuclid

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

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

public class MeshEuclid
extends BooleanEuclid

Class wraps around EUCLIDs meshbased classifiers to abide LIMES ml interface

Author:

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

Field Summary

Fields

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

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

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
MeshEuclid()

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

ALGORITHM_NAME

public static final String ALGORITHM_NAME

See Also:

Constant Field Values

GRID_POINTS

public static final String GRID_POINTS

See Also:

Constant Field Values

Constructor Detail

MeshEuclid

public MeshEuclid()

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 BooleanEuclid

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 BooleanEuclid

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 BooleanEuclid

Parameters:

pfm - pseudo F-measure for unsupervised learning

Returns:

wrap with results

Throws:

UnsupportedMLImplementationException - if ML implementation is not supported

getName

protected String getName()

Description copied from class: ACoreMLAlgorithm

Name of the core ML algorithm.

Overrides:

getName in class BooleanEuclid

Returns:

Name of the core ML algorithm.

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 BooleanEuclid

Parameters:

source - Cache

target - Cache

mlModel - result of training phase

Returns:

the mapping from source to target