# Interface ConditionalEstimator

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

public interface ConditionalEstimator extends RevisionHandler
Interface for conditional probability estimators. Example code:

// 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);
}

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

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

Version:
\$Revision: 8034 \$
Author:
Len Trigg (trigg@cs.waikato.ac.nz)
• ## Method Summary

Modifier and Type
Method
Description
void
addValue(double data, double given, double weight)
Add a new data value to the current 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

getRevision
• ## Method Details

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