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 |