Project.toml

name = "EvoLinear"
uuid = "ab853011-1780-437f-b4b5-5de6f4777246"
authors = ["jeremie <jeremie.desgagne.bouchard@gmail.com> and contributors"]
version = "0.4.3"

[deps]
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
LoopVectorization = "bdcacae8-1622-11e9-2a5c-532679323890"
MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"

[compat]
Distributions = "0.25"
Flux = "0.13, 0.14"
LoopVectorization = "0.12"
MLJModelInterface = "1.0"
Optimisers = "0.2, 0.3"
Statistics = "1"
StatsBase = "0.33, 0.34"
julia = "1.6"

[extras]
MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test", "MLJBase"]