weka.estimators
Interface Estimator

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

DiscreteEstimator, DiscreteEstimatorBayes, KernelEstimator, MahalanobisEstimator, NormalEstimator, PoissonEstimator

public interface Estimator

extends java.io.Serializable

Interface for probability estimators. Example code:

   // Create a discrete estimator that takes values 0 to 9
   DiscreteEstimator newEst = new DiscreteEstimator(10, true);

   // Create 50 random integers first predicting the probability of the
   // value, then adding the value to the estimator
   Random r = new Random(seed);
   for(int i = 0; i < 50; i++) {
     current = Math.abs(r.nextInt() % 10);
     System.out.println(newEst);
     System.out.println("Prediction for " + current 
                        + " = " + newEst.getProbability(current));
     newEst.addValue(current, 1);
   }
 

Version:

$Revision: 1.5 $

Author:

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

Method Summary

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.

Method Detail

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

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