com.bayesia.api.learning.settings

Class AugmentedMarkovBlanketSettings

java.lang.Object

com.bayesia.api.learning.settings.AbstractLearningSettings

com.bayesia.api.learning.settings.SupervisedLearningSettings

com.bayesia.api.learning.settings.MarkovBlanketSettings

com.bayesia.api.learning.settings.AugmentedMarkovBlanketSettings

All Implemented Interfaces:

LearningSettings, java.lang.Cloneable

public class AugmentedMarkovBlanketSettings
extends MarkovBlanketSettings

Learning settings for the Markov blanket learning algorithm.

Version:

4.2

Author:

Bayesia S.A.S.

Method Summary

Modifier and Type	Method and Description
AugmentedMarkovBlanketSettings	copy() Make a deep copy of the learning settings.
static AugmentedMarkovBlanketSettings	createDefault()
APIUtils.LEARNING_ALGORITHM	getLearningAlgorithm() Return a LEARNING_ALGORITHM indicating the learning algorithm to use

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

isOutgoingArcFixed, setOutgoingArcFixed, 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 AugmentedMarkovBlanketSettings copy()

Description copied from interface: LearningSettings

Make a deep copy of the learning settings.

Specified by:

copy in interface LearningSettings

Overrides:

copy in class MarkovBlanketSettings

Returns:

a deep copy of the current instance

createDefault

public static AugmentedMarkovBlanketSettings createDefault()

getLearningAlgorithm

public APIUtils.LEARNING_ALGORITHM getLearningAlgorithm()

Description copied from interface: LearningSettings

Return a LEARNING_ALGORITHM indicating the learning algorithm to use

Specified by:

getLearningAlgorithm in interface LearningSettings

Overrides:

getLearningAlgorithm in class MarkovBlanketSettings

Returns:

the learning algorithm to use