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java.lang.Objectweka.classifiers.bayes.net.estimate.BayesNetEstimator
weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
public class MultiNomialBMAEstimator
Multinomial BMA Estimator.
Valid options are:-k2 Whether to use K2 prior.
-A <alpha> Initial count (alpha)
| Constructor Summary | |
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MultiNomialBMAEstimator()
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| Method Summary | |
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double[] |
distributionForInstance(BayesNet bayesNet,
Instance instance)
Calculates the class membership probabilities for the given test instance. |
void |
estimateCPTs(BayesNet bayesNet)
estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure. |
java.lang.String[] |
getOptions()
Gets the current settings of the classifier. |
java.lang.String |
getRevision()
Returns the revision string. |
java.lang.String |
globalInfo()
Returns a string describing this object |
void |
initCPTs(BayesNet bayesNet)
initCPTs reserves space for CPTs and set all counts to zero |
boolean |
isUseK2Prior()
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java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setUseK2Prior(boolean bUseK2Prior)
Sets the UseK2Prior. |
void |
updateClassifier(BayesNet bayesNet,
Instance instance)
Updates the classifier with the given instance. |
| Methods inherited from class weka.classifiers.bayes.net.estimate.BayesNetEstimator |
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alphaTipText, getAlpha, setAlpha |
| Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public MultiNomialBMAEstimator()
| Method Detail |
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public java.lang.String globalInfo()
globalInfo in class BayesNetEstimator
public void estimateCPTs(BayesNet bayesNet)
throws java.lang.Exception
estimateCPTs in class BayesNetEstimatorbayesNet - the bayes net to use
java.lang.Exception - if number of parents doesn't fit (more than 1)
public void updateClassifier(BayesNet bayesNet,
Instance instance)
throws java.lang.Exception
updateClassifier in class BayesNetEstimatorbayesNet - the bayes net to useinstance - the new training instance to include in the model
java.lang.Exception - if the instance could not be incorporated in
the model.
public void initCPTs(BayesNet bayesNet)
throws java.lang.Exception
initCPTs in class BayesNetEstimatorbayesNet - the bayes net to use
java.lang.Exception - doesn't applypublic boolean isUseK2Prior()
public void setUseK2Prior(boolean bUseK2Prior)
bUseK2Prior - The bUseK2Prior to set
public double[] distributionForInstance(BayesNet bayesNet,
Instance instance)
throws java.lang.Exception
distributionForInstance in class BayesNetEstimatorbayesNet - the bayes net to useinstance - the instance to be classified
java.lang.Exception - if there is a problem generating the predictionpublic java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class BayesNetEstimator
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-k2 Whether to use K2 prior.
-A <alpha> Initial count (alpha)
setOptions in interface OptionHandlersetOptions in class BayesNetEstimatoroptions - 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 BayesNetEstimatorpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class BayesNetEstimator
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