Package index
-
AcqFunction
- Acquisition Function Base Class
-
AcqOptimizer
- Acquisition Function Optimizer
-
ResultAssigner
- Result Assigner Base Class
-
Surrogate
- Surrogate Model
-
SurrogateLearner
- Surrogate Model Containing a Single Learner
-
SurrogateLearnerCollection
- Surrogate Model Containing Multiple Learners
-
acqf()
- Syntactic Sugar Acquisition Function Construction
-
acqfs()
- Syntactic Sugar Acquisition Functions Construction
-
acqo()
- Syntactic Sugar Acquisition Function Optimizer Construction
-
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-package
- mlr3mbo: Flexible Bayesian Optimization
-
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_ehvi
AcqFunctionEHVI
- Acquisition Function Expected Hypervolume Improvement
-
mlr_acqfunctions_ehvigh
AcqFunctionEHVIGH
- Acquisition Function Expected Hypervolume Improvement via Gauss-Hermite Quadrature
-
mlr_acqfunctions_ei
AcqFunctionEI
- Acquisition Function Expected Improvement
-
mlr_acqfunctions_eips
AcqFunctionEIPS
- Acquisition Function Expected Improvement Per Second
-
mlr_acqfunctions_mean
AcqFunctionMean
- Acquisition Function Mean
-
mlr_acqfunctions_multi
AcqFunctionMulti
- Acquisition Function Wrapping Multiple Acquisition Functions
-
mlr_acqfunctions_pi
AcqFunctionPI
- Acquisition Function Probability of Improvement
-
mlr_acqfunctions_sd
AcqFunctionSD
- Acquisition Function Standard Deviation
-
mlr_acqfunctions_smsego
AcqFunctionSmsEgo
- Acquisition Function SMS-EGO
-
mlr_loop_functions
- Dictionary of Loop Functions
-
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
-
mlr_optimizers_mbo
OptimizerMbo
- Model Based Optimization
-
mlr_result_assigners
- Dictionary of Result Assigners
-
mlr_result_assigners_archive
ResultAssignerArchive
- Result Assigner Based on the Archive
-
mlr_result_assigners_surrogate
ResultAssignerSurrogate
- Result Assigner Based on a Surrogate Mean Prediction
-
mlr_tuners_mbo
TunerMbo
- TunerBatch using Model Based Optimization
-
ras()
- Syntactic Sugar Result Assigner Construction
-
srlrn()
- Syntactic Sugar Surrogate Construction