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

Class Eagle

java.lang.Object

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

org.aksw.limes.core.ml.algorithm.Eagle

public class Eagle
extends ACoreMLAlgorithm

Author:

Tommaso Soru (tsoru@informatik.uni-leipzig.de), Klaus Lyko (lyko@informatik.uni-leipzig.de)

Field Summary

Fields

Modifier and Type	Field	Description
protected static String	ALGORITHM_NAME
static String	BETA
static String	CROSSOVER_RATE
static String	GENERATIONS
static String	INQUIRY_SIZE
protected static org.apache.log4j.Logger	logger
static String	MAX_DURATION
static String	MAX_ITERATIONS
static String	MAX_QUALITY
static String	MEASURE
static String	MUTATION_RATE
static String	POPULATION
static String	PRESERVE_FITTEST
static String	PROPERTY_MAPPING
static String	PSEUDO_FMEASURE
static String	REPRODUCTION_RATE
static String	TERMINATION_CRITERIA
static String	TERMINATION_CRITERIA_VALUE

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

configuration, learningParameters, sourceCache, targetCache

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	Eagle()	Eagle constructor.

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.
int	getTurn()
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

Field Detail

ALGORITHM_NAME

protected static final String ALGORITHM_NAME

See Also:

Constant Field Values

GENERATIONS

public static final String GENERATIONS

See Also:

Constant Field Values

PRESERVE_FITTEST

public static final String PRESERVE_FITTEST

See Also:

Constant Field Values

MAX_DURATION

public static final String MAX_DURATION

See Also:

Constant Field Values

INQUIRY_SIZE

public static final String INQUIRY_SIZE

See Also:

Constant Field Values

MAX_ITERATIONS

public static final String MAX_ITERATIONS

See Also:

Constant Field Values

MAX_QUALITY

public static final String MAX_QUALITY

See Also:

Constant Field Values

TERMINATION_CRITERIA

public static final String TERMINATION_CRITERIA

See Also:

Constant Field Values

TERMINATION_CRITERIA_VALUE

public static final String TERMINATION_CRITERIA_VALUE

See Also:

Constant Field Values

BETA

public static final String BETA

See Also:

Constant Field Values

POPULATION

public static final String POPULATION

See Also:

Constant Field Values

MUTATION_RATE

public static final String MUTATION_RATE

See Also:

Constant Field Values

REPRODUCTION_RATE

public static final String REPRODUCTION_RATE

See Also:

Constant Field Values

CROSSOVER_RATE

public static final String CROSSOVER_RATE

See Also:

Constant Field Values

PSEUDO_FMEASURE

public static final String PSEUDO_FMEASURE

See Also:

Constant Field Values

MEASURE

public static final String MEASURE

See Also:

Constant Field Values

PROPERTY_MAPPING

public static final String PROPERTY_MAPPING

See Also:

Constant Field Values

logger

protected static org.apache.log4j.Logger logger

Constructor Detail

Eagle

protected Eagle()

Eagle constructor.

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)

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

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)
                            throws UnsupportedMLImplementationException

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

Throws:

UnsupportedMLImplementationException - Exception

activeLearn

protected MLResults activeLearn(AMapping oracleMapping)
                         throws UnsupportedMLImplementationException

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

Throws:

UnsupportedMLImplementationException - if ML implementation is not supported

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

setDefaultParameters

public void setDefaultParameters()

Description copied from class: ACoreMLAlgorithm

Set default ACoreMLAlgorithm parameters values

Specified by:

setDefaultParameters in class ACoreMLAlgorithm

getTurn

public int getTurn()

Returns:

current turn