Uses of Package
com.aliasi.stats

Packages that use com.aliasi.stats

Package	Description
com.aliasi.classify	Classes for classifying data and evaluation.
com.aliasi.crf	Classes and interfaces for conditional random fields.
com.aliasi.dca	Classes for fitting and running discrete choice analysis (DCA) models.
com.aliasi.lm	Classes for character- and token-based language models.
com.aliasi.stats	Classes for handling basic statical distributions and estimators.
com.aliasi.test.unit.stats

Classes in com.aliasi.stats used by com.aliasi.classify

Class and Description
AnnealingSchedule An AnnealingSchedule instance implements a method to return the learning rate for a specified epoch.
LogisticRegression A LogisticRegression instance is a multi-class vector classifier model generating conditional probability estimates of categories.
MultivariateDistribution A MultivariateDistribution implements a discrete distribution over a finite set of outcomes numbered consecutively from zero.
RegressionPrior A RegressionPrior instance represents a prior distribution on parameters for linear or logistic regression.

Classes in com.aliasi.stats used by com.aliasi.crf

Class and Description
AnnealingSchedule An AnnealingSchedule instance implements a method to return the learning rate for a specified epoch.
RegressionPrior A RegressionPrior instance represents a prior distribution on parameters for linear or logistic regression.

Classes in com.aliasi.stats used by com.aliasi.dca

Class and Description
AnnealingSchedule An AnnealingSchedule instance implements a method to return the learning rate for a specified epoch.
RegressionPrior A RegressionPrior instance represents a prior distribution on parameters for linear or logistic regression.

Classes in com.aliasi.stats used by com.aliasi.lm

Class and Description
Model A Model represents a generic interface for classes that estimate probabilities of objects.

Classes in com.aliasi.stats used by com.aliasi.stats

Class and Description
AbstractDiscreteDistribution An AbstractDiscreteDistribution provides a default abstract implementation of discrete distributions.
AnnealingSchedule An AnnealingSchedule instance implements a method to return the learning rate for a specified epoch.
BernoulliDistribution A BernoulliDistribution is a multivariate distribution with two outcomes, 0 (labeled "failure") and 1 (labeled "success").
DiscreteDistribution A DiscreteDistribution provides a probability distribution over long integer outcomes.
LogisticRegression A LogisticRegression instance is a multi-class vector classifier model generating conditional probability estimates of categories.
MultivariateDistribution A MultivariateDistribution implements a discrete distribution over a finite set of outcomes numbered consecutively from zero.
OnlineNormalEstimator An OnlineNormalEstimator provides an object that estimates means, variances, and standard deviations for a stream of numbers presented one at a time.
PoissonDistribution The PoissonDistribution abstract class is used for calculating Poisson distributions.
RegressionPrior A RegressionPrior instance represents a prior distribution on parameters for linear or logistic regression.

Classes in com.aliasi.stats used by com.aliasi.test.unit.stats

Class and Description
AbstractDiscreteDistribution An AbstractDiscreteDistribution provides a default abstract implementation of discrete distributions.
DiscreteDistribution A DiscreteDistribution provides a probability distribution over long integer outcomes.
MultivariateConstant A MultivariateConstant provides a multinomial distribution with constant probabilities and labels.
MultivariateDistribution A MultivariateDistribution implements a discrete distribution over a finite set of outcomes numbered consecutively from zero.