| mlr3mbo-package | mlr3mbo: Flexible Bayesian Optimization |
| acqf | Syntactic Sugar Acquisition Function Construction |
| AcqFunction | Acquisition Function Base Class |
| AcqFunctionAEI | Acquisition Function Augmented Expected Improvement |
| AcqFunctionCB | Acquisition Function Confidence Bound |
| AcqFunctionEI | Acquisition Function Expected Improvement |
| AcqFunctionEIPS | Acquisition Function Expected Improvement Per Second |
| AcqFunctionMean | Acquisition Function Mean |
| AcqFunctionPI | Acquisition Function Probability of Improvement |
| AcqFunctionSmsEgo | Acquisition Function SMS-EGO |
| acqo | Syntactic Sugar Acquisition Function Optimizer Construction |
| AcqOptimizer | Acquisition Function Optimizer |
| bayesopt_ego | Sequential Single-Objective Bayesian Optimization |
| bayesopt_mpcl | Single-Objective Bayesian Optimization via Multipoint Constant Liar |
| bayesopt_parego | Multi-Objective Bayesian Optimization via ParEGO |
| bayesopt_smsego | Sequential Multi-Objective Bayesian Optimization via SMS-EGO |
| default_acqfun | Default Acquisition Function |
| default_acqopt | Default Acquisition Function Optimizer |
| default_loopfun | Default Loop Function |
| default_surrogate | Default Surrogate |
| loop_function | Loop Functions for Bayesian Optimization |
| mbo_defaults | Defaults for OptimizerMbo |
| mlr3mbo | mlr3mbo: Flexible Bayesian Optimization |
| mlr_acqfunctions | Dictionary of Acquisition Functions |
| mlr_acqfunctions_aei | Acquisition Function Augmented Expected Improvement |
| mlr_acqfunctions_cb | Acquisition Function Confidence Bound |
| mlr_acqfunctions_ei | Acquisition Function Expected Improvement |
| mlr_acqfunctions_eips | Acquisition Function Expected Improvement Per Second |
| mlr_acqfunctions_mean | Acquisition Function Mean |
| mlr_acqfunctions_pi | Acquisition Function Probability of Improvement |
| mlr_acqfunctions_smsego | Acquisition Function SMS-EGO |
| mlr_loop_functions | Dictionary of Loop Functions |
| mlr_loop_functions_ego | Sequential Single-Objective Bayesian Optimization |
| mlr_loop_functions_mpcl | Single-Objective Bayesian Optimization via Multipoint Constant Liar |
| mlr_loop_functions_parego | Multi-Objective Bayesian Optimization via ParEGO |
| mlr_loop_functions_smsego | Sequential Multi-Objective Bayesian Optimization via SMS-EGO |
| mlr_optimizers_mbo | Model Based Optimization |
| mlr_tuners_mbo | Tuner using Model Based Optimization |
| OptimizerMbo | Model Based Optimization |
| result_by_default | Choose Final Point(s) based on the Archive |
| result_by_surrogate_design | Choose Final Point(s) by Surrogate Mean |
| srlrn | Syntactic Sugar Surrogate Learner Construction |
| srlrnc | Syntactic Sugar Surrogate Learner Collection Construction |
| Surrogate | Surrogate Model |
| SurrogateLearner | Surrogate Model Containing a Single Learner |
| SurrogateLearnerCollection | Surrogate Model Containing Multiple Learners |
| TunerMbo | Tuner using Model Based Optimization |