Class DiscreteEstimatorBayes
- java.lang.Object
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- weka.estimators.Estimator
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- weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
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- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,Scoreable
,CapabilitiesHandler
,OptionHandler
,RevisionHandler
- Direct Known Subclasses:
DiscreteEstimatorFullBayes
public class DiscreteEstimatorBayes extends Estimator implements Scoreable
Symbolic probability estimator based on symbol counts and a prior.- Version:
- $Revision: 1.7 $
- Author:
- Remco Bouckaert (rrb@xm.co.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description DiscreteEstimatorBayes(int nSymbols, double fPrior)
Constructor
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description void
addValue(double data, double weight)
Add a new data value to the current estimator.double
getCount(double data)
Get a counts for a valueint
getNumSymbols()
Gets the number of symbols this estimator operates withdouble
getProbability(double data)
Get a probability estimate for a valuejava.lang.String
getRevision()
Returns the revision string.double
logScore(int nType, int nCardinality)
Gets the log score contribution of this distributionstatic void
main(java.lang.String[] argv)
Main method for testing this class.java.lang.String
toString()
Display a representation of this estimator-
Methods inherited from class weka.estimators.Estimator
addValues, addValues, addValues, addValues, buildEstimator, buildEstimator, clone, debugTipText, equals, forName, getCapabilities, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions, testCapabilities
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Method Detail
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addValue
public void addValue(double data, double weight)
Add a new data value to the current estimator.
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getProbability
public double getProbability(double data)
Get a probability estimate for a value- Specified by:
getProbability
in classEstimator
- Parameters:
data
- the value to estimate the probability of- Returns:
- the estimated probability of the supplied value
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getCount
public double getCount(double data)
Get a counts for a value- Parameters:
data
- the value to get the counts for- Returns:
- the count of the supplied value
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getNumSymbols
public int getNumSymbols()
Gets the number of symbols this estimator operates with- Returns:
- the number of estimator symbols
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logScore
public double logScore(int nType, int nCardinality)
Gets the log score contribution of this distribution
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toString
public java.lang.String toString()
Display a representation of this estimator- Overrides:
toString
in classjava.lang.Object
- Returns:
- a string representation of the estimator
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Returns:
- the revision
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main
public static void main(java.lang.String[] argv)
Main method for testing this class.- Parameters:
argv
- should contain a sequence of integers which will be treated as symbolic.
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