Man pages for mlr3mbo
Flexible Bayesian Optimization
| acqf | Syntactic Sugar Acquisition Function Construction |
| acqfs | Syntactic Sugar Acquisition Functions Construction |
| AcqFunction | Acquisition Function Base Class |
| acqo | Syntactic Sugar Acquisition Function Optimizer Construction |
| AcqOptimizer | Acquisition Function Optimizer |
| default_acqfunction | Default Acquisition Function |
| default_acqoptimizer | Default Acquisition Function Optimizer |
| default_gp | Default Gaussian Process |
| default_loop_function | Default Loop Function |
| default_result_assigner | Default Result Assigner |
| default_rf | Default Random Forest |
| default_surrogate | Default Surrogate |
| loop_function | Loop Functions for Bayesian Optimization |
| mbo_defaults | Defaults for OptimizerMbo |
| mlr3mbo-package | 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_ehvi | Acquisition Function Expected Hypervolume Improvement |
| mlr_acqfunctions_ehvigh | Acquisition Function Expected Hypervolume Improvement via... |
| mlr_acqfunctions_ei | Acquisition Function Expected Improvement |
| mlr_acqfunctions_eips | Acquisition Function Expected Improvement Per Second |
| mlr_acqfunctions_mean | Acquisition Function Mean |
| mlr_acqfunctions_multi | Acquisition Function Wrapping Multiple Acquisition Functions |
| mlr_acqfunctions_pi | Acquisition Function Probability of Improvement |
| mlr_acqfunctions_sd | Acquisition Function Standard Deviation |
| 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_emo | Sequential Multi-Objective Bayesian Optimization |
| mlr_loop_functions_mpcl | Single-Objective Bayesian Optimization via Multipoint... |
| 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_result_assigners | Dictionary of Result Assigners |
| mlr_result_assigners_archive | Result Assigner Based on the Archive |
| mlr_result_assigners_surrogate | Result Assigner Based on a Surrogate Mean Prediction |
| mlr_tuners_mbo | TunerBatch using Model Based Optimization |
| ras | Syntactic Sugar Result Assigner Construction |
| ResultAssigner | Result Assigner Base Class |
| srlrn | Syntactic Sugar Surrogate Construction |
| Surrogate | Surrogate Model |
| SurrogateLearner | Surrogate Model Containing a Single Learner |
| SurrogateLearnerCollection | Surrogate Model Containing Multiple Learners |
