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 |
AcqFunctionEHVI |
Acquisition Function Expected Hypervolume Improvement |
AcqFunctionEHVIGH |
Acquisition Function Expected Hypervolume Improvement via Gauss-Hermite Quadrature |
AcqFunctionEI |
Acquisition Function Expected Improvement |
AcqFunctionEIPS |
Acquisition Function Expected Improvement Per Second |
AcqFunctionMean |
Acquisition Function Mean |
AcqFunctionPI |
Acquisition Function Probability of Improvement |
AcqFunctionSD |
Acquisition Function Standard Deviation |
AcqFunctionSmsEgo |
Acquisition Function SMS-EGO |
acqo |
Syntactic Sugar Acquisition Function Optimizer Construction |
AcqOptimizer |
Acquisition Function Optimizer |
bayesopt_ego |
Sequential Single-Objective Bayesian Optimization |
bayesopt_emo |
Sequential Multi-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_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 |
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 Gauss-Hermite Quadrature |
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_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 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_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 |
OptimizerMbo |
Model Based Optimization |
ras |
Syntactic Sugar Result Assigner Construction |
ResultAssigner |
Result Assigner Base Class |
ResultAssignerArchive |
Result Assigner Based on the Archive |
ResultAssignerSurrogate |
Result Assigner Based on a Surrogate Mean Prediction |
srlrn |
Syntactic Sugar Surrogate Construction |
Surrogate |
Surrogate Model |
SurrogateLearner |
Surrogate Model Containing a Single Learner |
SurrogateLearnerCollection |
Surrogate Model Containing Multiple Learners |
TunerMbo |
TunerBatch using Model Based Optimization |