loop_function: Loop Functions for Bayesian Optimization

In mlr3mbo: Flexible Bayesian Optimization

Loop Functions for Bayesian Optimization

Description

Loop functions determine the behavior of the Bayesian Optimization algorithm on a global level. For an overview of readily available loop functions, see as.data.table(mlr_loop_functions).

In general, a loop function is simply a decorated member of the S3 class loop_function. Attributes must include: id (id of the loop function), label (brief description), instance ("single-crit" and or "multi_crit"), and man (link to the manual page).

As an example, see, e.g., bayesopt_ego.

See Also

Other Loop Function: mlr_loop_functions, mlr_loop_functions_ego, mlr_loop_functions_emo, mlr_loop_functions_mpcl, mlr_loop_functions_parego, mlr_loop_functions_smsego

mlr3mbo documentation built on Oct. 17, 2024, 1:06 a.m.