Hyperparameter optimization: Difference between revisions

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Bayesian: BOCS now also has a Python 3 implementation
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* [https://github.com/mlr-org/mlrMBO mlrMBO], also with [https://github.com/mlr-org/mlr mlr], is an [[R (programming language)|R]] package for model-based/Bayesian optimization of black-box functions.
* [https://github.com/PhilippPro/tuneRanger tuneRanger] is an R package for tuning random forests using model-based optimization.
* [https://github.com/baptistar/BOCS BOCS] is a Matlab package which uses [[semidefinite programming]] for minimizing a black-box function over discrete inputs.<ref name="arXiv:1806.08838">{{cite arXiv |year=2018 |title=Bayesian Optimization of Combinatorial Structures |eprint=1806.08838|last1=Baptista |first1=Ricardo |last2=Poloczek |first2=Matthias |class=stat.ML }}</ref> A Python 3 implementation is also included.
 
===Gradient based===