mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

RCOthermachine-learningcranrrandom-forestoptimizationoptimizertuninghyperparameter-optimizationr-packagemodel-based-optimizationblack-box-optimizationbayesian-optimizationhyperparameter-tuninghpoautomlhyperparametergaussian-processmlr3bbotk
This is stars and forks stats for /mlr-org/mlr3mbo repository. As of 29 Apr, 2024 this repository has 23 stars and 1 forks.

mlr3mbo Package website: release | dev A new R6 and much more modular implementation for single- and multi-objective Bayesian Optimization. Get Started An overview and gentle introduction is given in this vignette. Design mlr3mbo is built modular relying on the following R6 classes: Surrogate: Surrogate Model AcqFunction: Acquisition Function AcqOptimizer: Acquisition Function Optimizer Based on these, Bayesian Optimization loops can be written, see, e.g., bayesopt_ego for sequential single-objective...
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