weka.estimators

Class DDConditionalEstimator

java.lang.Object

weka.estimators.DDConditionalEstimator

All Implemented Interfaces:

RevisionHandler, ConditionalEstimator

public class DDConditionalEstimator
extends java.lang.Object
implements ConditionalEstimator

Conditional probability estimator for a discrete domain conditional upon a discrete domain.

Version:

$Revision: 15521 $

Author:

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

Constructor Summary

Constructors

Constructor and Description
DDConditionalEstimator() No-arg constructor needed to make WEKA's forName() work.
DDConditionalEstimator(int numSymbols, int numCondSymbols, boolean laplace) Constructor

Method Summary

Modifier and Type	Method and Description
void	addValue(double data, double given, double weight) Add a new data value to the current estimator.
Estimator	getEstimator(double given) Get a probability estimator for a value
double	getProbability(double data, double given) Get a probability estimate for a value
java.lang.String	getRevision() Returns the revision string.
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 java.lang.Object

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

Constructor Detail

DDConditionalEstimator

public DDConditionalEstimator()

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

DDConditionalEstimator

public DDConditionalEstimator(int numSymbols,
                              int numCondSymbols,
                              boolean laplace)

Constructor

Parameters:

numSymbols - the number of possible symbols (remember to include 0)

numCondSymbols - the number of conditioning symbols

laplace - if true, sub-estimators will use laplace

Method Detail

addValue

public void addValue(double data,
                     double given,
                     double weight)

Add a new data value to the current estimator.

Specified by:

addValue in interface ConditionalEstimator

Parameters:

data - the new data value

given - the new value that data is conditional upon

weight - the weight assigned to the data value

getEstimator

public Estimator getEstimator(double given)

Get a probability estimator for a value

Specified by:

getEstimator in interface ConditionalEstimator

Parameters:

given - the new value that data is conditional upon

Returns:

the estimator for the supplied value given the condition

getProbability

public double getProbability(double data,
                             double given)

Get a probability estimate for a value

Specified by:

getProbability in interface ConditionalEstimator

Parameters:

data - the value to estimate the probability of

given - the new value that data is conditional upon

Returns:

the estimated probability of the supplied value

toString

public java.lang.String toString()

Display a representation of this estimator

Overrides:

toString in class java.lang.Object

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 pairs of integers which will be treated as symbolic.