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. |