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java.lang.Objectweka.classifiers.bayes.net.search.SearchAlgorithm
weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
weka.classifiers.bayes.net.search.local.SimulatedAnnealing
public class SimulatedAnnealing
SimulatedAnnealing uses simulated annealing for learning Bayesian network structures. For details, see for example R.R. Bouckaert. Bayesian Belief Networks: from Construction to Inference. Ph.D. thesis, University of Utrecht, 1995
| Field Summary |
|---|
| Fields inherited from class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm |
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TAGS_SCORE_TYPE |
| Constructor Summary | |
|---|---|
SimulatedAnnealing()
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| Method Summary | |
|---|---|
void |
buildStructure(BayesNet bayesNet,
Instances instances)
buildStructure determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph. |
java.lang.String |
deltaTipText()
|
double |
getDelta()
|
java.lang.String[] |
getOptions()
Gets the current settings of the search algorithm. |
int |
getRuns()
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int |
getSeed()
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double |
getTStart()
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java.lang.String |
globalInfo()
This will return a string describing the classifier. |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
java.lang.String |
runsTipText()
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java.lang.String |
seedTipText()
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void |
setDelta(double fDelta)
Sets the m_fDelta. |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setRuns(int nRuns)
Sets the m_nRuns. |
void |
setSeed(int nSeed)
Sets the random number seed |
void |
setTStart(double fTStart)
Sets the m_fTStart. |
java.lang.String |
TStartTipText()
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| Methods inherited from class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm |
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calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreType |
| Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm |
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initAsNaiveBayesTipText, maxNrOfParentsTipText, toString |
| Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
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public SimulatedAnnealing()
| Method Detail |
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public void buildStructure(BayesNet bayesNet,
Instances instances)
throws java.lang.Exception
LocalScoreSearchAlgorithm
buildStructure in class LocalScoreSearchAlgorithmjava.lang.Exceptionpublic double getDelta()
public double getTStart()
public int getRuns()
public void setDelta(double fDelta)
m_fDelta - The m_fDelta to setpublic void setTStart(double fTStart)
m_fTStart - The m_fTStart to setpublic void setRuns(int nRuns)
m_nRuns - The m_nRuns to setpublic int getSeed()
public void setSeed(int nSeed)
nSeed - The number of the seed to setpublic java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class LocalScoreSearchAlgorithm
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
For other options see search algorithm.
setOptions in interface OptionHandlersetOptions in class LocalScoreSearchAlgorithmoptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlergetOptions in class LocalScoreSearchAlgorithmpublic java.lang.String globalInfo()
public java.lang.String TStartTipText()
public java.lang.String runsTipText()
public java.lang.String deltaTipText()
public java.lang.String seedTipText()
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