All Packages  Class Hierarchy  This Package  Previous  Next  Index  WEKA's home

Class weka.estimators.KernelEstimator 

java.lang.Object
   |
   +----weka.estimators.KernelEstimator
public class KernelEstimator
extends Object
implements Estimator
Simple kernel density estimator. Uses one gaussian kernel per observed data value.

Version:
$Revision: 1.2 $
Author:
Len Trigg (trigg@cs.waikato.ac.nz)

Constructor Index

o KernelEstimator(double)
Constructor that takes a precision argument.

Method Index

o addValue(double, double)
Add a new data value to the current estimator.
o getProbability(double)
Get a probability estimate for a value.
o main(String[])
Main method for testing this class.
o toString()
Display a representation of this estimator

Constructors

o KernelEstimator 
 public KernelEstimator(double precision)
Constructor that takes a precision argument.

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.

Methods

o addValue 
 public void addValue(double data,
                      double weight)
Add a new data value to the current estimator.

Parameters:
data - the new data value
weight - the weight assigned to the data value
o getProbability 
 public double getProbability(double data)
Get a probability estimate for a value.

Parameters:
data - the value to estimate the probability of
Returns:
the estimated probability of the supplied value
o toString 
 public String toString()
Display a representation of this estimator

Overrides:
toString in class Object
o main 
 public static void main(String argv[])
Main method for testing this class.

Parameters:
argv - should contain a sequence of numeric values 
All Packages  Class Hierarchy  This Package  Previous  Next  Index  WEKA's home