Project.toml

[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DecisionTree = "7806a523-6efd-50cb-b5f6-3fa6f1930dbb"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
LossFunctions = "30fc2ffe-d236-52d8-8643-a9d8f7c094a7"
MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
MLJModels = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
MLJScientificTypes = "2e2323e0-db8b-457b-ae0d-bdfb3bc63afd"
MLJTuning = "03970b2e-30c4-11ea-3135-d1576263f10f"
Missings = "e1d29d7a-bbdc-5cf2-9ac0-f12de2c33e28"
MultivariateStats = "6f286f6a-111f-5878-ab1e-185364afe411"
NearestNeighbors = "b8a86587-4115-5ab1-83bc-aa920d37bbce"
RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ScientificTypes = "321657f4-b219-11e9-178b-2701a2544e81"
TypedTables = "9d95f2ec-7b3d-5a63-8d20-e2491e220bb9"

[compat]
Documenter = "^0.24"
julia = "1.2"