org.dllearner.core.probabilistic.unife

Class AbstractPSLA

java.lang.Object

org.dllearner.core.probabilistic.unife.AbstractPSLA

All Implemented Interfaces:

Component, LearningAlgorithm, ProbabilisticStructureLearningAlgorithm, StoppableLearningAlgorithm

Direct Known Subclasses:

AbstractLEAP, LEAPDistributed

public abstract class AbstractPSLA
extends Object
implements ProbabilisticStructureLearningAlgorithm, StoppableLearningAlgorithm

Author:

Giuseppe Cota , Riccardo Zese

Constructor Summary

Constructors

Constructor and Description
AbstractPSLA()
AbstractPSLA(AbstractCELA cela, AbstractParameterLearningAlgorithm pla) Each probabilistic structure learning algorithm gets a class expression learning algorithm and a parameter learning algorithm

Method Summary

Modifier and Type	Method and Description
AbstractCELA	getClassExpressionLearningAlgorithm()
ParameterLearningAlgorithm	getLearningParameterAlgorithm() Get the underlying learning parameter algorithm.
AbstractLearningProblem	getLearningProblem() The learning problem variable, which must be used by all learning algorithm implementations.
String	getOutputFile()
boolean	isRunning() Returns whether the learning algorithm is running.
void	setClassExpressionLearningAlgorithm(AbstractCELA la)
void	setLearningParameterAlgorithm(ParameterLearningAlgorithm pla) Set the parameter learner algorithm.
void	setLearningProblem(LearningProblem learningProblem) Set the learning problem, which the algorithm should solve.
void	setOutputFile(String outputFile)
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

AbstractPSLA

public AbstractPSLA()

AbstractPSLA

public AbstractPSLA(AbstractCELA cela,
                    AbstractParameterLearningAlgorithm pla)

Each probabilistic structure learning algorithm gets a class expression learning algorithm and a parameter learning algorithm

Parameters:

cela -

pla -

Method Detail

getClassExpressionLearningAlgorithm

public AbstractCELA getClassExpressionLearningAlgorithm()

setClassExpressionLearningAlgorithm

@Autowired
public void setClassExpressionLearningAlgorithm(AbstractCELA la)

getLearningParameterAlgorithm

public ParameterLearningAlgorithm getLearningParameterAlgorithm()

Description copied from interface: ProbabilisticStructureLearningAlgorithm

Get the underlying learning parameter algorithm.

Specified by:

getLearningParameterAlgorithm in interface ProbabilisticStructureLearningAlgorithm

Returns:

Underlying learning parameter algorithm.

setLearningParameterAlgorithm

@Autowired
public void setLearningParameterAlgorithm(ParameterLearningAlgorithm pla)

Description copied from interface: ProbabilisticStructureLearningAlgorithm

Set the parameter learner algorithm.

Specified by:

setLearningParameterAlgorithm in interface ProbabilisticStructureLearningAlgorithm

Parameters:

pla - The parameter learner to be used.

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

getOutputFile

public String getOutputFile()

Returns:

the outputFile

setOutputFile

public void setOutputFile(String outputFile)

Parameters:

outputFile - the outputFile to set