com.bayesia.api.learning.settings

Class MaximumSpanningTreeSettings

java.lang.Object

com.bayesia.api.learning.settings.AbstractLearningSettings

com.bayesia.api.learning.settings.MaximumSpanningTreeSettings

All Implemented Interfaces:

LearningSettings, java.lang.Cloneable

public class MaximumSpanningTreeSettings
extends AbstractLearningSettings

Learning settings for the maximum spanning tree learning algorithm.

Version:

4.2

Author:

Bayesia S.A.S.

Method Summary

Modifier and Type	Method and Description
MaximumSpanningTreeSettings	copy() Make a deep copy of the learning settings.
static MaximumSpanningTreeSettings	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
int	getScore()
java.lang.String	getTargetNodeName() Return the name of the target node if the learning algorithm is supervised.
boolean	isSupervised() Indicate if the current learning algorithm is supervised (i.e. it needs a target) or not.
boolean	isValid() Test if the current settings are valid.
void	setScore(int score)
java.lang.String	toString()

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 MaximumSpanningTreeSettings copy()

Description copied from interface: LearningSettings

Make a deep copy of the learning settings.

Returns:

a deep copy of the current instance

getScore

public int getScore()

setScore

public void setScore(int score)

createDefault

public static MaximumSpanningTreeSettings 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 AbstractLearningSettings

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

isSupervised

public boolean isSupervised()

Description copied from interface: LearningSettings

Indicate if the current learning algorithm is supervised (i.e. it needs a target) or not.

Returns:

true if the learning algorithm is supervised, false if unsupervised. APIUtils.LEARNING_ALGORITHM.isSupervised()

getTargetNodeName

public java.lang.String getTargetNodeName()

Description copied from interface: LearningSettings

Return the name of the target node if the learning algorithm is supervised.

Returns:

the target node's name

isValid

public boolean isValid()

Description copied from interface: LearningSettings

Test if the current settings are valid.

Returns:

true if the settings are valid, false otherwise