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## Package weka.estimators

Interface Summary
ConditionalEstimator | Interface for conditional probability estimators.
Estimator | Interface for probability estimators.

Class Summary
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.
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.

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