Skip to contents

All functions

AcqFunction
Acquisition Function Base Class
AcqOptimizer
Acquisition Function Optimizer
Surrogate
Surrogate Model
SurrogateLearner
Surrogate Model Containing a Single Learner
SurrogateLearnerCollection
Surrogate Model Containing Multiple Learners
acqf()
Syntactic Sugar Acquisition Function Construction
acqo()
Syntactic Sugar Acquisition Function Optimizer Construction
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-package
mlr3mbo: Flexible Bayesian Optimization in R
mlr_acqfunctions
Dictionary of Acquisition Functions
mlr_acqfunctions_aei AcqFunctionAEI
Acquisition Function Augmented Expected Improvement
mlr_acqfunctions_cb AcqFunctionCB
Acquisition Function Confidence Bound
mlr_acqfunctions_ei AcqFunctionEI
Acquisition Function Expected Improvement
mlr_acqfunctions_eips AcqFunctionEIPS
Acquisition Function Expected Improvement Per Second
mlr_acqfunctions_pi AcqFunctionPI
Acquisition Function Probability of Improvement
mlr_acqfunctions_sms_ego AcqFunctionSmsEgo
Acquisition Function SMS EGO
mlr_loop_functions
Dictionary of Loop Functions
bayesopt_ego()
Sequential Singlecriteria Bayesian Optimization
bayesopt_mpcl()
Sequential Singlecriteria Bayesian Optimization via Multipoint Constant Liar
bayesopt_parego()
Sequential Multicriteria Bayesian Optimization via ParEGO
bayesopt_smsego()
Sequential Multicriteria Bayesian Optimization via SmsEGO
mlr_optimizers_mbo OptimizerMbo
Model Based Optimization
mlr_tuners_mbo TunerMbo
Tuner using 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