|
Class Summary |
| CheckEstimator |
Class for examining the capabilities and finding problems with
estimators. |
| CheckEstimator.AttrTypes |
class that contains info about the attribute types the estimator can estimate
estimator work on one attribute only |
| CheckEstimator.EstTypes |
public class that contains info about the chosen attribute type
estimator work on one attribute only |
| DDConditionalEstimator |
Conditional probability estimator for a discrete domain conditional upon
a discrete domain. |
| DiscreteEstimator |
Simple symbolic probability estimator based on symbol counts. |
| DKConditionalEstimator |
Conditional probability estimator for a discrete domain conditional upon
a numeric domain. |
| DNConditionalEstimator |
Conditional probability estimator for a discrete domain conditional upon
a numeric domain. |
| Estimator |
Abstract class for all estimators. |
| EstimatorUtils |
Contains static utility functions for Estimators. |
| KDConditionalEstimator |
Conditional probability estimator for a numeric domain conditional upon
a discrete domain (utilises separate kernel estimators for each discrete
conditioning value). |
| KernelEstimator |
Simple kernel density estimator. |
| KKConditionalEstimator |
Conditional probability estimator for a numeric domain conditional upon
a numeric domain. |
| MahalanobisEstimator |
Simple probability estimator that places a single normal distribution
over the observed values. |
| NDConditionalEstimator |
Conditional probability estimator for a numeric domain conditional upon
a discrete domain (utilises separate normal estimators for each discrete
conditioning value). |
| NNConditionalEstimator |
Conditional probability estimator for a numeric domain conditional upon
a numeric domain (using Mahalanobis distance). |
| NormalEstimator |
Simple probability estimator that places a single normal distribution
over the observed values. |
| PoissonEstimator |
Simple probability estimator that places a single Poisson distribution
over the observed values. |