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 and Description
DiscreteEstimator(int numSymbols, boolean laplace) Constructor
DiscreteEstimator(int nSymbols, double fPrior) Constructor

Method Summary

Modifier and Type	Method and 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 value
int	getNumSymbols() Gets the number of symbols this estimator operates with
double	getProbability(double data) Get a probability estimate for a value
java.lang.String	getRevision() Returns the revision string.
double	getSumOfCounts() Get the sum of all the counts
static 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

Methods inherited from class java.lang.Object

getClass, hashCode, notify, notifyAll, wait, wait, wait

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 interface IncrementalEstimator

Overrides:

addValue in class Estimator

Parameters:

data - the new data value

weight - the weight assigned to the data value

getProbability

public double getProbability(double data)

Get a probability estimate for a value

Specified by:

getProbability in class Estimator

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 class java.lang.Object

getCapabilities

public Capabilities getCapabilities()

Returns default capabilities of the classifier.

Specified by:

getCapabilities in interface CapabilitiesHandler

Overrides:

getCapabilities in class Estimator

Returns:

the capabilities of this classifier

See Also:

Capabilities

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

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.