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Project.toml
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28 lines (28 loc) · 1.4 KB
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[deps]
BetaML = "024491cd-cc6b-443e-8034-08ea7eb7db2b"
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"
HypertextLiteral = "ac1192a8-f4b3-4bfe-ba22-af5b92cd3ab2"
HypothesisTests = "09f84164-cd44-5f33-b23f-e6b0d136a0d5"
Impute = "f7bf1975-0170-51b9-8c5f-a992d46b9575"
JLSO = "9da8a3cd-07a3-59c0-a743-3fdc52c30d11"
MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
MLJDecisionTreeInterface = "c6f25543-311c-4c74-83dc-3ea6d1015661"
MLJLinearModels = "6ee0df7b-362f-4a72-a706-9e79364fb692"
MLJModels = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
MLJMultivariateStatsInterface = "1b6a4a23-ba22-4f51-9698-8599985d3728"
MLJXGBoostInterface = "54119dfa-1dab-4055-a167-80440f4f7a91"
MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
MultivariateStats = "6f286f6a-111f-5878-ab1e-185364afe411"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8"
PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
XGBoost = "009559a3-9522-5dbb-924b-0b6ed2b22bb9"