Package weka.estimators

Class DiscreteEstimator

java.lang.Object

weka.estimators.Estimator

weka.estimators.DiscreteEstimator

All Implemented Interfaces:

Serializable, Cloneable, Aggregateable<DiscreteEstimator>, CapabilitiesHandler, CapabilitiesIgnorer, OptionHandler, RevisionHandler, IncrementalEstimator

public class DiscreteEstimator
extends Estimator
implements IncrementalEstimator, Aggregateable<DiscreteEstimator>

Simple symbolic probability estimator based on symbol counts.

Version:

$Revision$

Author:

Len Trigg (trigg@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
DiscreteEstimator()	No-arg constructor needed to make WEKA's forName() work.
DiscreteEstimator(int numSymbols, boolean laplace)	Constructor
DiscreteEstimator(int nSymbols, double fPrior)	Constructor

Method Summary

Modifier and Type	Method	Description
void	addValue(double data, double weight)	Add a new data value to the current estimator.
DiscreteEstimator	aggregate(DiscreteEstimator toAggregate)	Aggregate an object with this one
void	finalizeAggregation()	Call to complete the aggregation process.
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
String	getRevision()	Returns the revision string.
double	getSumOfCounts()	Get the sum of all the counts
static void	main(String[] argv)	Main method for testing this class.
String	toString()	Display a representation of this estimator

Methods inherited from class weka.estimators.Estimator

addValues, addValues, addValues, addValues, buildEstimator, buildEstimator, clone, debugTipText, doNotCheckCapabilitiesTipText, equals, forName, getDebug, getDoNotCheckCapabilities, getOptions, listOptions, makeCopies, makeCopy, setDebug, setDoNotCheckCapabilities, setOptions, testCapabilities

Methods inherited from class java.lang.Object

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

Constructor Detail

DiscreteEstimator

public DiscreteEstimator()

No-arg constructor needed to make WEKA's forName() work. Uses one symbol and Laplace value of 1.

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 String toString()

Display a representation of this estimator

Overrides:

toString in class 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 String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class Estimator

Returns:

the revision

aggregate

public DiscreteEstimator aggregate(DiscreteEstimator toAggregate)
                            throws Exception

Description copied from interface: Aggregateable

Aggregate an object with this one

Specified by:

aggregate in interface Aggregateable<DiscreteEstimator>

Parameters:

toAggregate - the object to aggregate

Returns:

the result of aggregation

Throws:

Exception - if the supplied object can't be aggregated for some reason

finalizeAggregation

public void finalizeAggregation()
                         throws Exception

Description copied from interface: Aggregateable

Call to complete the aggregation process. Allows implementers to do any final processing based on how many objects were aggregated.

Specified by:

finalizeAggregation in interface Aggregateable<DiscreteEstimator>

Throws:

Exception - if the aggregation can't be finalized for some reason

main

public static void main(String[] argv)

Main method for testing this class.

Parameters:

argv - should contain a sequence of integers which will be treated as symbolic.