# \[ANN\] Latin hypercube on MLJTuning

**URL:** <https://discourse.julialang.org/t/ann-latin-hypercube-on-mljtuning/52954>\
**Category:** Machine Learning\
**Created:** [January 6, 2021, 6:05pm UTC](https://discourse.julialang.org/t/ann-latin-hypercube-on-mljtuning/52954 "2021-01-06T18:05:49Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![ludoro](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ludoro/32/8597_2.png) [@ludoro](https://discourse.julialang.org/u/ludoro)\
**Post date:** [January 6, 2021, 6:05pm UTC](https://discourse.julialang.org/t/ann-latin-hypercube-on-mljtuning/52954/1 "2021-01-06T18:05:49Z")

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Hello everyone! Just a quick announcement. MLJTuning now has a new tuning strategy: Latin Hypercube.🎉 It will be live when [https://github.com/JuliaRegistries/General/pull/27394](https://github.com/JuliaRegistries/General/pull/27394) gets merged. You can take a look at the docs here: [Tuning Models · MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/tuning_models/#Tuning-using-Latin-hypercube-sampling-1)  
I have been using [https://github.com/MrUrq/LatinHypercubeSampling.jl](https://github.com/MrUrq/LatinHypercubeSampling.jl) to perform the inner workings, check that library out as well.