mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
This tool helps data scientists and machine learning engineers find the best configuration for their machine learning models or other complex systems. You provide the model or system, define the parameters you want to tune, and specify what you want to optimize (e.g., accuracy, cost). The tool intelligently explores different parameter combinations and returns the optimal settings, saving significant time and computational resources.
Use this if you need to systematically optimize the performance of a machine learning model or a black-box function by intelligently searching through its configuration parameters.
Not ideal if you need a simple grid search or random search for hyperparameter tuning, or if you are not working within the R ecosystem.
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R
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Last pushed
Mar 19, 2026
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