Package | Description |
---|---|
com.mapr.stats.bandit | |
com.mapr.stats.random |
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.
|
Modifier and Type | Class and Description |
---|---|
class |
BinomialDistributionSampler |
class |
NormalDistributionSampler
Returns a normal distribution whose mean is uniformly distributed on [0,1) and whose sd is as
specified.
|
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