Package | Description |
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com.mapr.stats.bandit |
Modifier and Type | Class and Description |
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class |
BetaBayesFactory
Factory that creates a BetaBayesModel for solving a
multi-armed bandit with binary {0,1} rewards.
|
class |
EpsilonGreedyFactory
Factory that creates an epsilon greedy bandit solver.
|
class |
GammaNormalBayesFactory
Factory that creates GammaNormalBayesModel objects with a standard call.
|
Modifier and Type | Method and Description |
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static double |
BanditTrainer.totalRegret(String cumulativeOutput,
String perTurnOutput,
int replications,
int bandits,
int maxSteps,
BanditFactory modelFactory,
DistributionGenerator refSampler)
Computes average regret relative to perfect knowledge given uniform random probabilities.
|
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