Function reference
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AcqFunction
- Acquisition Function Base Class
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AcqOptimizer
- Acquisition Function Optimizer
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Surrogate
- Surrogate Model
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SurrogateLearner
- Surrogate Model Containing a Single Learner
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SurrogateLearnerCollection
- Surrogate Model Containing Multiple Learners
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acqf()
- Syntactic Sugar Acquisition Function Construction
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acqo()
- Syntactic Sugar Acquisition Function Optimizer Construction
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default_acqfun()
- Default Acquisition Function
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default_acqopt()
- Default Acquisition Function Optimizer
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default_loopfun()
- Default Loop Function
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default_surrogate()
- Default Surrogate
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loop_function
- Loop Functions for Bayesian Optimization
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mbo_defaults
- Defaults for OptimizerMbo
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mlr3mbo
mlr3mbo-package
- mlr3mbo: Flexible Bayesian Optimization
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mlr_acqfunctions
- Dictionary of Acquisition Functions
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mlr_acqfunctions_cb
AcqFunctionCB
- Acquisition Function Confidence Bound
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mlr_acqfunctions_ei
AcqFunctionEI
- Acquisition Function Expected Improvement
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mlr_acqfunctions_eips
AcqFunctionEIPS
- Acquisition Function Expected Improvement Per Second
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mlr_acqfunctions_mean
AcqFunctionMean
- Acquisition Function Mean
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mlr_acqfunctions_pi
AcqFunctionPI
- Acquisition Function Probability of Improvement
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mlr_acqfunctions_smsego
AcqFunctionSmsEgo
- Acquisition Function SMS-EGO
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mlr_loop_functions
- Dictionary of Loop Functions
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bayesopt_ego()
- Sequential Single-Objective Bayesian Optimization
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bayesopt_mpcl()
- Single-Objective Bayesian Optimization via Multipoint Constant Liar
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bayesopt_parego()
- Multi-Objective Bayesian Optimization via ParEGO
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bayesopt_smsego()
- Sequential Multi-Objective Bayesian Optimization via SMS-EGO
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mlr_optimizers_mbo
OptimizerMbo
- Model Based Optimization
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mlr_tuners_mbo
TunerMbo
- Tuner using Model Based Optimization
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result_by_default()
- Choose Final Point(s) based on the Archive
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result_by_surrogate_design()
- Choose Final Point(s) by Surrogate Mean
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srlrn()
- Syntactic Sugar Surrogate Learner Construction
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srlrnc()
- Syntactic Sugar Surrogate Learner Collection Construction