Flexible Bayesian Optimization

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Documentation for package ‘mlr3mbo’ version 0.3.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

mlr3mbo-package	mlr3mbo: Flexible Bayesian Optimization
acqf	Syntactic Sugar Acquisition Function Construction
acqfs	Syntactic Sugar Acquisition Functions 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
AcqFunctionEILog	Acquisition Function Expected Improvement on Log Scale
AcqFunctionEIPS	Acquisition Function Expected Improvement Per Second
AcqFunctionMean	Acquisition Function Mean
AcqFunctionMulti	Acquisition Function Wrapping Multiple Acquisition Functions
AcqFunctionPI	Acquisition Function Probability of Improvement
AcqFunctionSD	Acquisition Function Standard Deviation
AcqFunctionSmsEgo	Acquisition Function SMS-EGO
AcqFunctionStochasticCB	Acquisition Function Stochastic Confidence Bound
AcqFunctionStochasticEI	Acquisition Function Stochastic Expected Improvement
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
InputTrafo	Input Transformation Base Class
InputTrafoUnitcube	Input Transformation Unitcube
it	Syntactic Sugar Input Trafo Construction
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_ei_log	Acquisition Function Expected Improvement on Log Scale
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_acqfunctions_stochastic_cb	Acquisition Function Stochastic Confidence Bound
mlr_acqfunctions_stochastic_ei	Acquisition Function Stochastic Expected Improvement
mlr_input_trafos	Dictionary of Input Transformations
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_adbo	Asynchronous Decentralized Bayesian Optimization
mlr_optimizers_async_mbo	Asynchronous Model Based Optimization
mlr_optimizers_mbo	Model Based Optimization
mlr_output_trafos	Dictionary of Output Transformations
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_adbo	TunerAsync using Asynchronous Decentralized Bayesian Optimization
mlr_tuners_async_mbo	TunerAsync using Asynchronous Model Based Optimization
mlr_tuners_mbo	TunerBatch using Model Based Optimization
OptimizerADBO	Asynchronous Decentralized Bayesian Optimization
OptimizerAsyncMbo	Asynchronous Model Based Optimization
OptimizerMbo	Model Based Optimization
ot	Syntactic Sugar Output Trafo Construction
OutputTrafo	Output Transformation Base Class
OutputTrafoLog	Output Transformation Log
OutputTrafoStandardize	Output Transformation Standardization
ras	Syntactic Sugar Result Assigner Construction
redis_available	Check if Redis Server is Available
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
TunerADBO	TunerAsync using Asynchronous Decentralized Bayesian Optimization
TunerAsyncMbo	TunerAsync using Asynchronous Model Based Optimization
TunerMbo	TunerBatch using Model Based Optimization