Module bayesian 

Bayesian hyperparameter learning

Online Bayesian inference for learning optimal hyperparameters using conjugate prior distributions.

Structs

BayesianHyperparameterLearner

Online Bayesian hyperparameter learner

BetaPosterior

Beta distribution posterior for probability parameters (e.g., mutation rate)

GammaPosterior

Gamma distribution posterior for positive rate parameters (e.g., temperature)

HyperparameterPosteriors

Collection of hyperparameter posteriors

LogNormalPosterior

Log-normal posterior approximation for step sizes

OperatorParams

Operator parameters that can be learned