Package weka.estimators
Class DiscreteEstimator
java.lang.Object
weka.estimators.Estimator
weka.estimators.DiscreteEstimator
- All Implemented Interfaces:
Serializable
,Cloneable
,CapabilitiesHandler
,OptionHandler
,RevisionHandler
,IncrementalEstimator
Simple symbolic probability estimator based on symbol counts.
- Version:
- $Revision: 1.10 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz)
- See Also:
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Constructor Summary
ConstructorsConstructorDescriptionDiscreteEstimator
(int numSymbols, boolean laplace) ConstructorDiscreteEstimator
(int nSymbols, double fPrior) Constructor -
Method Summary
Modifier and TypeMethodDescriptionvoid
addValue
(double data, double weight) Add a new data value to the current estimator.Returns default capabilities of the classifier.double
getCount
(double data) Get the count for a valueint
Gets the number of symbols this estimator operates withdouble
getProbability
(double data) Get a probability estimate for a valueReturns the revision string.double
Get the sum of all the countsstatic void
Main method for testing this class.toString()
Display a representation of this estimatorMethods inherited from class weka.estimators.Estimator
addValues, addValues, addValues, addValues, buildEstimator, buildEstimator, clone, debugTipText, equals, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions, testCapabilities
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Constructor Details
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DiscreteEstimator
public DiscreteEstimator(int numSymbols, boolean laplace) Constructor- Parameters:
numSymbols
- the number of possible symbols (remember to include 0)laplace
- if true, counts will be initialised to 1
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DiscreteEstimator
public DiscreteEstimator(int nSymbols, double fPrior) Constructor- Parameters:
nSymbols
- the number of possible symbols (remember to include 0)fPrior
- value with which counts will be initialised
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Method Details
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addValue
public void addValue(double data, double weight) Add a new data value to the current estimator.- Specified by:
addValue
in interfaceIncrementalEstimator
- Overrides:
addValue
in classEstimator
- Parameters:
data
- the new data valueweight
- the weight assigned to the data value
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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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getNumSymbols
public int getNumSymbols()Gets the number of symbols this estimator operates with- Returns:
- the number of estimator symbols
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getCount
public double getCount(double data) Get the count for a value- Parameters:
data
- the value to get the count of- Returns:
- the count of the supplied value
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getSumOfCounts
public double getSumOfCounts()Get the sum of all the counts- Returns:
- the total sum of counts
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toString
Display a representation of this estimator -
getCapabilities
Returns default capabilities of the classifier.- Specified by:
getCapabilities
in interfaceCapabilitiesHandler
- Overrides:
getCapabilities
in classEstimator
- Returns:
- the capabilities of this classifier
- See Also:
-
getRevision
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Returns:
- the revision
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main
Main method for testing this class.- Parameters:
argv
- should contain a sequence of integers which will be treated as symbolic.
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