Project.toml

name = "PotentialFitting"
uuid = "ec7fb60e-ec45-11e8-1605-2d81b01dfc43"
authors = ["Teemu Järvinen"]
version = "0.3.2"

[deps]
Chemfiles = "46823bd8-5fb3-5f92-9aa0-96921f3dd015"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
MLJGLMInterface = "caf8df21-4939-456d-ac9c-5fefbfb04c0c"
Makie = "ee78f7c6-11fb-53f2-987a-cfe4a2b5a57a"
PotentialCalculation = "76415700-ec45-11e8-0f65-f1df3c899b21"
Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
UnitfulAtomic = "a7773ee8-282e-5fa2-be4e-bd808c38a91a"

[weakdeps]
ACEmd = "69e0c927-b120-467d-b2b3-5b6842148cf4"
MLJScikitLearnInterface = "5ae90465-5518-4432-b9d2-8a1def2f0cab"
PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"

[extensions]
PotentialFitting_ACEmd_ext = "ACEmd"
PotentialFitting_PythonCall_ext = ["PythonCall", "MLJScikitLearnInterface"]

[compat]
ACEmd = "0.1.6"
Chemfiles = "0.10.41"
Distances = "0.10"
MLJ = "0.19, 0.20"
MLJGLMInterface = "0.3"
MLJScikitLearnInterface = "0.5"
Makie = "0.19"
PotentialCalculation = "0.6"
PythonCall = "0.9"
Reexport = "0.2, 1.0"
Statistics = "1"
StatsBase = "0.33, 0.34"
Unitful = "1"
UnitfulAtomic = "1"
julia = "1.9"