# Package weka.estimators

package weka.estimators

- Related Packages
  Package
  Description
  weka
- 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
  ConditionalEstimator
  Interface for conditional probability estimators.
  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.
  IncrementalEstimator
  Interface for an incremental probability 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.
  MultivariateEstimator
  Interface to Multivariate Distribution Estimation
  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.
  UnivariateDensityEstimator
  Interface that can be implemented by simple weighted univariate density estimators.
  UnivariateEqualFrequencyHistogramEstimator
  Simple histogram density estimator.
  UnivariateIntervalEstimator
  Interface that can be implemented by simple weighted univariate interval estimators.
  UnivariateKernelEstimator
  Simple weighted kernel density estimator.
  UnivariateMixtureEstimator
  Simple weighted mixture density estimator.
  UnivariateNormalEstimator
  Simple weighted normal density estimator.
  UnivariateQuantileEstimator
  Interface that can be implemented by simple weighted univariate quantile estimators.