Package weka.estimators

Interface Summary

Interface	Description
ConditionalEstimator	Interface for conditional probability estimators.
IncrementalEstimator	Interface for an incremental probability estimators.
MultivariateEstimator	Interface to Multivariate Distribution Estimation
UnivariateDensityEstimator	Interface that can be implemented by simple weighted univariate density estimators.
UnivariateIntervalEstimator	Interface that can be implemented by simple weighted univariate interval estimators.
UnivariateQuantileEstimator	Interface that can be implemented by simple weighted univariate quantile estimators.

Class Summary

Class	Description
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.
MultivariateGaussianEstimator	Implementation of maximum likelihood Multivariate Distribution Estimation using Normal Distribution.
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.
UnivariateEqualFrequencyHistogramEstimator	Simple histogram density estimator.
UnivariateKernelEstimator	Simple weighted kernel density estimator.
UnivariateMixtureEstimator	Simple weighted mixture density estimator.
UnivariateNormalEstimator	Simple weighted normal density estimator.