org.dllearner.algorithms.probabilistic.parameter.distributed.unife.edge

Class EDGEDistributedDynamic

java.lang.Object

org.dllearner.core.probabilistic.unife.AbstractParameterLearningAlgorithm

org.dllearner.algorithms.probabilistic.parameter.unife.edge.AbstractEDGE

org.dllearner.core.probabilistic.distributed.unife.AbstractEDGEDistributed

org.dllearner.algorithms.probabilistic.parameter.distributed.unife.edge.EDGEDistributedDynamic

All Implemented Interfaces:

Component, LearningAlgorithm, DistributedComponent, ParameterLearningAlgorithm, StoppableLearningAlgorithm

public class EDGEDistributedDynamic
extends AbstractEDGEDistributed

Author:

Giuseppe Cota , Riccardo Zese

Nested Class Summary

Nested classes/interfaces inherited from class org.dllearner.algorithms.probabilistic.parameter.unife.edge.AbstractEDGE

AbstractEDGE.PossibleOutputFormat

Constructor Summary

Constructors

Constructor and Description
EDGEDistributedDynamic()

Method Summary

Modifier and Type	Method and Description
int	getChunkDim()
int	getMaxSenderThreads()
BigDecimal	getParameter(org.semanticweb.owlapi.model.OWLAxiom ax) Gets the probabilistic parameter of an axiom
void	init() Method to be called after the component has been configured.
void	setChunkDim(int chunkDim)
void	setMaxSenderThreads(int maxSenderThreads)
void	start() Starts the algorithm.

Methods inherited from class org.dllearner.core.probabilistic.distributed.unife.AbstractEDGEDistributed

getComm, setComm

Methods inherited from class org.dllearner.algorithms.probabilistic.parameter.unife.edge.AbstractEDGE

changeSourcesOntology, getAccuracy, getDifferenceLL, getLearnedOntology, getLL, getLOGZERO, getMaxExplanations, getMaxIterations, getMaxNegativeExamples, getMaxPositiveExamples, getNegativeExampleAxioms, getOutputformat, getPositiveExampleAxioms, getRatioLL, getSeed, getSourcesOntology, getTimeMap, getTimeout, isRandomize, isRandomizeAll, isShowAll, reset, setAccuracy, setDifferenceLL, setMaxExplanations, setMaxIterations, setMaxNegativeExamples, setMaxPositiveExamples, setNegativeExampleAxioms, setOutputformat, setPositiveExampleAxioms, setProbabilizeAll, setRandomize, setRatioLL, setSeed, setShowAll, setTimeout

Methods inherited from class org.dllearner.core.probabilistic.unife.AbstractParameterLearningAlgorithm

getLearningProblem, getTargetAxioms, isRunning, setLearningProblem, setTargetAxioms, stop

Methods inherited from class java.lang.Object

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

Constructor Detail

EDGEDistributedDynamic

public EDGEDistributedDynamic()

Method Detail

init

public void init()
          throws ComponentInitException

Description copied from interface: Component

Method to be called after the component has been configured. Implementation of components can overwrite this method to perform setup and initialisation tasks for this component.

Specified by:

init in interface Component

Overrides:

init in class AbstractEDGE

Throws:

ComponentInitException - This exception is thrown if any exceptions occur within the initialisation process of this component. As component developer, you are encouraged to re-throw occurring exception as ComponentInitException and giving an error message as well as the actually exception by using the constructor ComponentInitException(String, Throwable).

start

public void start()

Description copied from interface: LearningAlgorithm

Starts the algorithm. It runs until paused, stopped, or a termination criterion has been reached.

getChunkDim

public int getChunkDim()

Returns:

the chunkDim

setChunkDim

public void setChunkDim(int chunkDim)

Parameters:

chunkDim - the chunkDim to set

getMaxSenderThreads

public int getMaxSenderThreads()

Returns:

the maxSenderThreads

setMaxSenderThreads

public void setMaxSenderThreads(int maxSenderThreads)

Parameters:

maxSenderThreads - the maxSenderThreads to set

getParameter

public BigDecimal getParameter(org.semanticweb.owlapi.model.OWLAxiom ax)

Description copied from class: AbstractParameterLearningAlgorithm

Gets the probabilistic parameter of an axiom

Overrides:

getParameter in class AbstractEDGE

Returns:

the probabilistic parameter of the axiom