Flexible Bayesian Optimization


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Documentation for package ‘mlr3mbo’ version 0.1.2

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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