weka.estimators
Class KKConditionalEstimator

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

public class KKConditionalEstimator
extends java.lang.Object
implements ConditionalEstimator

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

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

Constructor Summary
KKConditionalEstimator(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

KKConditionalEstimator

public KKConditionalEstimator(double precision)
Constructor

Parameters:
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. Creates some random points in the range 0 - 100, and prints out a distribution conditional on some value

Parameters:
argv - should contain: seed conditional_value numpoints


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