Interface | Description |
---|---|
ConditionalEstimator |
Interface for conditional probability estimators.
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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 | 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.
|