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Update deps and readme file #2

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Mar 30, 2023
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Update deps and readme file #2

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2b2505d
update version
jmejia8 Mar 30, 2023
9f078f3
update docstring
jmejia8 Mar 30, 2023
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2 changes: 1 addition & 1 deletion Project.toml
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
name = "HyperTuning"
uuid = "ddfa78db-9111-4329-a6bd-d4ed85ceb229"
authors = ["Jesus Mejia <[email protected]>"]
version = "0.1.0"
version = "0.1.1"

[deps]
Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
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9 changes: 9 additions & 0 deletions README.md
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Expand Up @@ -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
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