com.bayesia.api.learning.settings

Class MarkovBlanketSettings

java.lang.Object

com.bayesia.api.learning.settings.AbstractLearningSettings

com.bayesia.api.learning.settings.SupervisedLearningSettings

com.bayesia.api.learning.settings.MarkovBlanketSettings

All Implemented Interfaces:

LearningSettings, java.lang.Cloneable

Direct Known Subclasses:

AugmentedMarkovBlanketSettings

public class MarkovBlanketSettings
extends SupervisedLearningSettings

Learning settings for the Markov blanket learning algorithm.

Version:

4.2

Author:

Bayesia S.A.S.

Method Summary

Modifier and Type	Method and Description
MarkovBlanketSettings	copy() Make a deep copy of the learning settings.
static MarkovBlanketSettings	createDefault() Create an instance of the learning settings initialized with the default parameters for this algorithm.
APIUtils.LEARNING_ALGORITHM	getLearningAlgorithm() Return a LEARNING_ALGORITHM indicating the learning algorithm to use
boolean	isOutgoingArcFixed()
void	setOutgoingArcFixed(boolean fixOutgoingArcs)
java.lang.String	toString()

Methods inherited from class com.bayesia.api.learning.settings.SupervisedLearningSettings

getMarkovBlanketRestrictionFrequencyThreshold, getMarkovBlanketRestrictionSeed, getMarkovBlanketRestrictionTestCount, getTargetNodeName, isMarkovBlanketRestrictionBlocked, isMarkovBlanketRestrictionEnabled, isMarkovBlanketRestrictionFixedSeed, isMarkovBlanketRestrictionUsed, isSupervised, isValid, setMarkovBlanketRestrictionBlocked, setMarkovBlanketRestrictionEnabled, setMarkovBlanketRestrictionFixedSeed, setMarkovBlanketRestrictionFrequencyThreshold, setMarkovBlanketRestrictionSeed, setMarkovBlanketRestrictionTestCount, setMarkovBlanketRestrictionUsed, setTargetNodeName

Methods inherited from class com.bayesia.api.learning.settings.AbstractLearningSettings

getSmoothedProbabilityEstimation, getStructuralCoefficient, isVerbose, setSmoothedProbabilityEstimation, setStructuralCoefficient, setVerbose

Methods inherited from class java.lang.Object

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

Method Detail

copy

public MarkovBlanketSettings copy()

Description copied from interface: LearningSettings

Make a deep copy of the learning settings.

Specified by:

copy in interface LearningSettings

Specified by:

copy in class SupervisedLearningSettings

Returns:

a deep copy of the current instance

setOutgoingArcFixed

public void setOutgoingArcFixed(boolean fixOutgoingArcs)

isOutgoingArcFixed

public boolean isOutgoingArcFixed()

createDefault

public static MarkovBlanketSettings createDefault()

Create an instance of the learning settings initialized with the default parameters for this algorithm.

Returns:

the learning settings

toString

public java.lang.String toString()

Specified by:

toString in interface LearningSettings

Overrides:

toString in class SupervisedLearningSettings

getLearningAlgorithm

public APIUtils.LEARNING_ALGORITHM getLearningAlgorithm()

Description copied from interface: LearningSettings

Return a LEARNING_ALGORITHM indicating the learning algorithm to use

Returns:

the learning algorithm to use