Package weka.estimators
Class DiscreteEstimator
- java.lang.Object
-
- weka.estimators.Estimator
-
- weka.estimators.DiscreteEstimator
-
- All Implemented Interfaces:
java.io.Serializable
,java.lang.Cloneable
,CapabilitiesHandler
,OptionHandler
,RevisionHandler
,IncrementalEstimator
public class DiscreteEstimator extends Estimator implements IncrementalEstimator
Simple symbolic probability estimator based on symbol counts.- Version:
- $Revision: 1.10 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz)
- See Also:
- Serialized Form
-
-
Constructor Summary
Constructors Constructor Description DiscreteEstimator(int numSymbols, boolean laplace)
ConstructorDiscreteEstimator(int nSymbols, double fPrior)
Constructor
-
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.Capabilities
getCapabilities()
Returns default capabilities of the classifier.double
getCount(double data)
Get the count 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
getSumOfCounts()
Get the sum of all the countsstatic 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, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions, testCapabilities
-
-
-
-
Constructor Detail
-
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
-
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
-
-
Method Detail
-
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
-
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
-
getNumSymbols
public int getNumSymbols()
Gets the number of symbols this estimator operates with- Returns:
- the number of estimator symbols
-
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
-
getSumOfCounts
public double getSumOfCounts()
Get the sum of all the counts- Returns:
- the total sum of counts
-
toString
public java.lang.String toString()
Display a representation of this estimator- Overrides:
toString
in classjava.lang.Object
-
getCapabilities
public Capabilities getCapabilities()
Returns default capabilities of the classifier.- Specified by:
getCapabilities
in interfaceCapabilitiesHandler
- Overrides:
getCapabilities
in classEstimator
- Returns:
- the capabilities of this classifier
- See Also:
Capabilities
-
getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Returns:
- the revision
-
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.
-
-