org.dllearner.core.probabilistic.unife

Class AbstractParameterLearningAlgorithm

java.lang.Object

org.dllearner.core.probabilistic.unife.AbstractParameterLearningAlgorithm

All Implemented Interfaces:

Component, LearningAlgorithm, ParameterLearningAlgorithm, StoppableLearningAlgorithm

Direct Known Subclasses:

AbstractEDGE

public abstract class AbstractParameterLearningAlgorithm
extends Object
implements ParameterLearningAlgorithm, StoppableLearningAlgorithm

Abstract component representing a parameter Learner. A parameter learner computes the probabilistic value of a single axiom

Author:

Giuseppe Cota

Constructor Summary

Constructors

Constructor and Description
AbstractParameterLearningAlgorithm()
AbstractParameterLearningAlgorithm(AbstractLearningProblem learningProblem, Set<org.semanticweb.owlapi.model.OWLAxiom> targetAxioms)

Method Summary

Modifier and Type	Method and Description
AbstractLearningProblem	getLearningProblem() The learning problem variable, which must be used by all learning algorithm implementations.
abstract BigDecimal	getParameter(org.semanticweb.owlapi.model.OWLAxiom ax) Gets the probabilistic parameter of an axiom
Set<org.semanticweb.owlapi.model.OWLAxiom>	getTargetAxioms() Gets the target axioms.
abstract Map<String,Long>	getTimeMap() Gets the map of the time in milliseconds spent by various algorithms.
boolean	isRunning() Returns whether the learning algorithm is running.
void	setLearningProblem(LearningProblem learningProblem) Set the learning problem, which the algorithm should solve.
void	setTargetAxioms(Set<org.semanticweb.owlapi.model.OWLAxiom> targetAxioms) Sets the target axioms of which want to learn the parameters.
void	stop() Stops the algorithm gracefully.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.dllearner.core.LearningAlgorithm

start

Methods inherited from interface org.dllearner.core.Component

init

Constructor Detail

AbstractParameterLearningAlgorithm

public AbstractParameterLearningAlgorithm()

AbstractParameterLearningAlgorithm

public AbstractParameterLearningAlgorithm(AbstractLearningProblem learningProblem,
                                          Set<org.semanticweb.owlapi.model.OWLAxiom> targetAxioms)

Parameters:

learningProblem -

targetAxioms - target axioms in manchester syntax

Method Detail

setTargetAxioms

public void setTargetAxioms(Set<org.semanticweb.owlapi.model.OWLAxiom> targetAxioms)

Sets the target axioms of which want to learn the parameters.

Parameters:

targetAxioms -

getTargetAxioms

public Set<org.semanticweb.owlapi.model.OWLAxiom> getTargetAxioms()

Gets the target axioms.

Returns:

target axioms

getParameter

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

Gets the probabilistic parameter of an axiom

Parameters:

ax -

Returns:

the probabilistic parameter of the axiom

Throws:

ParameterLearningException

getTimeMap

public abstract Map<String,Long> getTimeMap()

Gets the map of the time in milliseconds spent by various algorithms.

Returns:

getLearningProblem

public AbstractLearningProblem getLearningProblem()

The learning problem variable, which must be used by all learning algorithm implementations.

Specified by:

getLearningProblem in interface LearningAlgorithm

Returns:

Underlying learning problem.

setLearningProblem

@Autowired
public void setLearningProblem(LearningProblem learningProblem)

Description copied from interface: LearningAlgorithm

Set the learning problem, which the algorithm should solve.

Specified by:

setLearningProblem in interface LearningAlgorithm

Parameters:

learningProblem - The learning problem to solve.

isRunning

public boolean isRunning()

Description copied from interface: StoppableLearningAlgorithm

Returns whether the learning algorithm is running. Implementation should use a boolean status variable in their implementations of the start and resume methods.

Specified by:

isRunning in interface StoppableLearningAlgorithm

Returns:

True if the algorithm is running, false otherwise.

stop

public void stop()

Description copied from interface: StoppableLearningAlgorithm

Stops the algorithm gracefully. A stopped algorithm cannot be resumed anymore. Use this method for cleanup and freeing memory.

Specified by:

stop in interface StoppableLearningAlgorithm