Package com.mapr.stats.bandit

Class Summary

Class	Description
BanditFactory	Factory interface for creating bandit solvers.
BanditTrainer	Simulate a two-armed bandit playing against a beta-Bayesian model.
BayesianBandit	Implements the common characteristics of the Bayesian Bandit.
BetaBayesFactory	Factory that creates a BetaBayesModel for solving a multi-armed bandit with binary {0,1} rewards.
BetaBayesModel	Multi-armed bandit problem where each probability is modeled by a beta prior and data about positive and negative trials.
ContextualBayesBandit	Solves the contextual bandit problem using Bayesian sampling.
EpsilonGreedy	Solves a bandit problem using an epsilon greedy algorithm.
EpsilonGreedyFactory	Factory that creates an epsilon greedy bandit solver.
GammaNormalBayesFactory	Factory that creates GammaNormalBayesModel objects with a standard call.