weka.estimators
Class DNConditionalEstimator

java.lang.Object
  |
  +--weka.estimators.DNConditionalEstimator
All Implemented Interfaces:
ConditionalEstimator

public class DNConditionalEstimator
extends java.lang.Object
implements ConditionalEstimator

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

Version:
$Revision: 1.4 $
Author:
Len Trigg (trigg@cs.waikato.ac.nz)

Constructor Summary
DNConditionalEstimator(int numSymbols, double precision)
          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
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

DNConditionalEstimator

public DNConditionalEstimator(int numSymbols,
                              double precision)
Constructor

Parameters:
numSymbols - the number of symbols
precision - the precision to which numeric values are given. For example, if the precision is stated to be 0.1, the values in the interval (0.25,0.35] are all treated as 0.3.
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

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 pairs of symbolic, numeric.


Copyright (c) 2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London