Project.toml 1.34 KiB
[deps]
AlgebraOfGraphics = "cbdf2221-f076-402e-a563-3d30da359d67"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
CategoricalDistributions = "af321ab8-2d2e-40a6-b165-3d674595d28e"
Chain = "8be319e6-bccf-4806-a6f7-6fae938471bc"
ConformalPrediction = "98bfc277-1877-43dc-819b-a3e38c30242f"
CounterfactualExplanations = "2f13d31b-18db-44c1-bc43-ebaf2cff0be0"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
ECCCo = "0232c203-4013-4b0d-ad96-43e3e11ac3bf"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
JointEnergyModels = "48c56d24-211d-4463-bbc0-7a701b291131"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
MLJEnsembles = "50ed68f4-41fd-4504-931a-ed422449fee0"
MLJFlux = "094fc8d1-fd35-5302-93ea-dabda2abf845"
MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
Metalhead = "dbeba491-748d-5e0e-a39e-b530a07fa0cc"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Tidier = "f0413319-3358-4bb0-8e7c-0c83523a93bd"