com.bayesia.api.learning.settings

Class TreeAugmentedNaiveSettings

java.lang.Object

com.bayesia.api.learning.settings.AbstractLearningSettings

com.bayesia.api.learning.settings.SupervisedLearningSettings

com.bayesia.api.learning.settings.NaiveSettings

com.bayesia.api.learning.settings.TreeAugmentedNaiveSettings

All Implemented Interfaces:

LearningSettings, java.lang.Cloneable

public class TreeAugmentedNaiveSettings
extends NaiveSettings

Learning settings for the tree augmented naive learning algorithm.

Version:

4.2

Author:

Bayesia S.A.S.

Method Summary

Modifier and Type	Method and Description
TreeAugmentedNaiveSettings	copy() Make a deep copy of the learning settings.
static TreeAugmentedNaiveSettings	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
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 TreeAugmentedNaiveSettings copy()

Description copied from interface: LearningSettings

Make a deep copy of the learning settings.

Specified by:

copy in interface LearningSettings

Overrides:

copy in class NaiveSettings

Returns:

a deep copy of the current instance

createDefault

public static TreeAugmentedNaiveSettings 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 NaiveSettings

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 NaiveSettings

Returns:

the learning algorithm to use