weka.estimators
Class DDConditionalEstimator

java.lang.Object
  weka.estimators.DDConditionalEstimator

All Implemented Interfaces:

ConditionalEstimator

public class DDConditionalEstimator

extends java.lang.Object

implements ConditionalEstimator

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

Version:

$Revision: 1.4 $

Author:

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

Field Summary

private DiscreteEstimator[]

m_Estimators Hold the sub-estimators

Constructor Summary

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

Method Summary

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
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

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

m_Estimators

private DiscreteEstimator[] m_Estimators

Hold the sub-estimators

Constructor Detail

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

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.