Package com.aliasi.stats

Classes for handling basic statical distributions and estimators.

See:
Description

Interface Summary

DiscreteDistribution	A DiscreteDistribution provides a probability distribution over long integer outcomes.
Model<E>	A Model represents a generic interface for classes that estimate probabilities of objects.

Class Summary

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.
BernoulliConstant	A BernoulliConstant implements a Bernoulli distribution with a constant probability of success.
BernoulliDistribution	A BernoulliDistribution is a multivariate distribution with two outcomes, 0 (labeled "failure") and 1 (labeled "success").
BernoulliEstimator	A BernoulliEstimator provides a maximum likelihood estimate of a Bernoulli distribution.
BinomialDistribution	A BinomialDistribution is a discrete distribution over the number of successes given a fixed number of Bernoulli trials.
LogisticRegression	A LogisticRegression instance is a multi-class vector classifier model generating conditional probability estimates of categories.
MultinomialDistribution	A MultinomialDistribution results from drawing a fixed number of samples from a multivariate distribution.
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.
MultivariateEstimator	A MultivariateEstimator provides a maximum likelihood estimator of a multivariate distribution based on training samples.
PoissonConstant	A PoissonConstant implements a Poisson distribution with a fixed mean.
PoissonDistribution	The PoissonDistribution abstract class is used for calculating Poisson distributions.
PoissonEstimator	A PoissonEstimator implements the maximum likelihood Poisson distribution given training events.
RegressionPrior	A RegressionPrior instance represents a prior distribution on parameters for linear or logistic regression.
Statistics	The Statistics class provides static utility methods for statistical computations.
ZipfDistribution	The ZipfDistribution class provides a finite distribution parameterized by a positive integer number of outcomes with outcome probability inversely proportional to the rank of the outcome (ordered by probablity).

Package com.aliasi.stats Description

Classes for handling basic statical distributions and estimators.