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Interface weka.estimators.Estimator

public interface Estimator

extends Serializable

   // 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: 1.2 $

Author:

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

addValue(double, double)

Add a new data value to the current estimator.

getProbability(double)

Get a probability estimate for a value.

 public abstract 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

 public abstract 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

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