Class MultiNomialBMAEstimator
- java.lang.Object
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- weka.classifiers.bayes.net.estimate.BayesNetEstimator
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- weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
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- All Implemented Interfaces:
java.io.Serializable
,OptionHandler
,RevisionHandler
public class MultiNomialBMAEstimator extends BayesNetEstimator
Multinomial BMA Estimator. Valid options are:-k2 Whether to use K2 prior.
-A <alpha> Initial count (alpha)
- Version:
- $Revision: 1.8 $
- Author:
- Remco Bouckaert (rrb@xm.co.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description MultiNomialBMAEstimator()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description 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 objectvoid
initCPTs(BayesNet bayesNet)
initCPTs reserves space for CPTs and set all counts to zeroboolean
isUseK2Prior()
java.util.Enumeration
listOptions()
Returns an enumeration describing the available optionsvoid
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
alphaTipText, getAlpha, setAlpha
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Method Detail
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globalInfo
public java.lang.String globalInfo()
Returns a string describing this object- Overrides:
globalInfo
in classBayesNetEstimator
- Returns:
- a description of the classifier suitable for displaying in the explorer/experimenter gui
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estimateCPTs
public void estimateCPTs(BayesNet bayesNet) throws java.lang.Exception
estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.- Overrides:
estimateCPTs
in classBayesNetEstimator
- Parameters:
bayesNet
- the bayes net to use- Throws:
java.lang.Exception
- if number of parents doesn't fit (more than 1)
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updateClassifier
public void updateClassifier(BayesNet bayesNet, Instance instance) throws java.lang.Exception
Updates the classifier with the given instance.- Overrides:
updateClassifier
in classBayesNetEstimator
- Parameters:
bayesNet
- the bayes net to useinstance
- the new training instance to include in the model- Throws:
java.lang.Exception
- if the instance could not be incorporated in the model.
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initCPTs
public void initCPTs(BayesNet bayesNet) throws java.lang.Exception
initCPTs reserves space for CPTs and set all counts to zero- Overrides:
initCPTs
in classBayesNetEstimator
- Parameters:
bayesNet
- the bayes net to use- Throws:
java.lang.Exception
- doesn't apply
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isUseK2Prior
public boolean isUseK2Prior()
- Returns:
- boolean
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setUseK2Prior
public void setUseK2Prior(boolean bUseK2Prior)
Sets the UseK2Prior.- Parameters:
bUseK2Prior
- The bUseK2Prior to set
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distributionForInstance
public double[] distributionForInstance(BayesNet bayesNet, Instance instance) throws java.lang.Exception
Calculates the class membership probabilities for the given test instance.- Overrides:
distributionForInstance
in classBayesNetEstimator
- Parameters:
bayesNet
- the bayes net to useinstance
- the instance to be classified- Returns:
- predicted class probability distribution
- Throws:
java.lang.Exception
- if there is a problem generating the prediction
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listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options- Specified by:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in classBayesNetEstimator
- Returns:
- an enumeration of all the available options
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setOptions
public void setOptions(java.lang.String[] options) throws java.lang.Exception
Parses a given list of options. Valid options are:-k2 Whether to use K2 prior.
-A <alpha> Initial count (alpha)
- Specified by:
setOptions
in interfaceOptionHandler
- Overrides:
setOptions
in classBayesNetEstimator
- Parameters:
options
- the list of options as an array of strings- Throws:
java.lang.Exception
- if an option is not supported
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getOptions
public java.lang.String[] getOptions()
Gets the current settings of the classifier.- Specified by:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in classBayesNetEstimator
- Returns:
- an array of strings suitable for passing to setOptions
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classBayesNetEstimator
- Returns:
- the revision
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