Package weka.estimators

Interface Summary
ConditionalEstimator Interface for conditional probability estimators.
IncrementalEstimator Interface for an incremental probability estimators.
 

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.