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## weka.estimators
Interface ConditionalEstimator

All Known Implementing Classes:
  DDConditionalEstimator, DKConditionalEstimator, DNConditionalEstimator, KDConditionalEstimator, KKConditionalEstimator, NDConditionalEstimator, NNConditionalEstimator

    public interface ConditionalEstimator

Interface for conditional probability estimators. Example code:

``

       NNConditionalEstimator newEst = new NNConditionalEstimator();

       // Create 50 random points and add them
       Random r = new Random(seed);
       for(int i = 0; i < 50; i++) {
         int x = Math.abs(r.nextInt() % 100);
         int y = Math.abs(r.nextInt() % 100);
         System.out.println("# " + x + "  " + y);
         newEst.addValue(x, y, 1);
       }

       // Pick a random conditional value
       int cond = Math.abs(r.nextInt() % 100);
       System.out.println("## Conditional = " + cond);

       // Print the probabilities conditional on that value
       Estimator result = newEst.getEstimator(cond);
       for(int i = 0; i <= 100; i+= 5) {
         System.out.println(" " + i + "  " + result.getProbability(i));
       }

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

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 for a value conditional on another value

Method Detail

### addValue

    void addValue(double data,
                  double given,
                  double weight)

  Add a new data value to the current estimator.

  Parameters:
    `data` - the new data value
    `given` - the new value that data is conditional upon
    `weight` - the weight assigned to the data value

### getEstimator

    Estimator getEstimator(double given)

  Get a probability estimator for a value

  Parameters:
    `given` - the new value that data is conditional upon
  Returns:
    the estimator for the supplied value given the condition

### getProbability

    double getProbability(double data,
                          double given)

  Get a probability for a value conditional on another value

  Parameters:
    `data` - the value to estimate the probability of
    `given` - the new value that data is conditional upon
  Returns:
    the estimator for the supplied value given the condition

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