KernelEstimator (DiscriminationAwareProcessAnalysis)

java.lang.Object
- org.processmining.plugins.workshop.Yaguang.WekaDiscriminationTree.KernelEstimator

All Implemented Interfaces:

java.io.Serializable, Estimator
```
public class KernelEstimator
extends java.lang.Object
implements Estimator
```
Simple kernel density estimator. Uses one gaussian kernel per observed data value.

Version:

$Revision: 1.5 $

Author:

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

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

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

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`addValue(double data, double weight)`	Add a new data value to the current estimator.
`double`	`getProbability(double data)`	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

- Constructor Detail
  - 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.
- Method Detail
  - addValue
```
public void addValue(double data,
                     double weight)
```
    Add a new data value to the current estimator.
    
    Specified by:
    
    addValue in interface Estimator
    
    Parameters:
    
    data - the new data value
    
    weight - the weight assigned to the data value
  - getProbability
```
public double getProbability(double data)
```
    Get a probability estimate for a value.
    
    Specified by:
    
    getProbability in interface Estimator
    
    Parameters:
    
    data - the value to estimate the probability of
    
    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 numeric values