Package | Description |
---|---|
com.mapr.stats.bandit | |
com.mapr.stats.random |
Modifier and Type | Class and Description |
---|---|
class |
BetaBayesModel
Multi-armed bandit problem where each probability is modeled by a beta prior and data about
positive and negative trials.
|
class |
EpsilonGreedy
Solves a bandit problem using an epsilon greedy algorithm.
|
Modifier and Type | Method and Description |
---|---|
BayesianBandit |
GammaNormalBayesFactory.createBandit(int bandits,
Random gen) |
BayesianBandit |
EpsilonGreedyFactory.createBandit(int bandits,
Random gen) |
BayesianBandit |
BetaBayesFactory.createBandit(int bandits,
Random gen) |
abstract BayesianBandit |
BanditFactory.createBandit(int bandits,
Random gen) |
Modifier and Type | Class and Description |
---|---|
class |
GammaNormalBayesModel
Multi-armed bandit problem where each reward is normally distributed with a gamma prior.
|
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