From 2b2505d57e6eb50e62d7689a50b5b3892b2252a0 Mon Sep 17 00:00:00 2001 From: Jesus Mejia Date: Thu, 30 Mar 2023 13:19:22 -0600 Subject: [PATCH 1/2] update version --- Project.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Project.toml b/Project.toml index 91edf79..0a95303 100644 --- a/Project.toml +++ b/Project.toml @@ -1,7 +1,7 @@ name = "HyperTuning" uuid = "ddfa78db-9111-4329-a6bd-d4ed85ceb229" authors = ["Jesus Mejia "] -version = "0.1.0" +version = "0.1.1" [deps] Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b" From 9f078f3bba000c6b75a4ea67a733bd09761f8376 Mon Sep 17 00:00:00 2001 From: Jesus Mejia Date: Thu, 30 Mar 2023 13:19:32 -0600 Subject: [PATCH 2/2] update docstring --- README.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/README.md b/README.md index 9a280cd..19e2e55 100644 --- a/README.md +++ b/README.md @@ -97,6 +97,15 @@ See [here](https://github.com/jmejia8/hypertuning-examples) for more examples. ## Examples +Examples for different Julia packages. + +- Optimization + * [Metaheuristics](https://github.com/jmejia8/hypertuning-examples/blob/main/Metaheuristics/metaheuristics.jl): The best parameters for a metaheuristic. + * [Optim](https://github.com/jmejia8/hypertuning-examples/blob/main/Optim/optim.jl): The best parameter for an exact optimizer. +- Machine Learning + * [MLJ](https://github.com/jmejia8/hypertuning-examples/blob/main/MLJ/mlj.jl): The best hyperparameters for a Machine Learning method. + * [Flux](https://github.com/jmejia8/hypertuning-examples/blob/main/Flux/flux.jl): The best hyperparameters for an artificial neural network method. + Further examples can be found at [https://github.com/jmejia8/hypertuning-examples](https://github.com/jmejia8/hypertuning-examples) ## Citation