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Project.toml
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Project.toml
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name = "Fairness"
uuid = "7c232609-d7a1-4356-98a6-13e736dd6dcd"
authors = ["ashryaagr <ashryaagr@gmail.com>"]
version = "0.3.2"
[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
GLPK = "60bf3e95-4087-53dc-ae20-288a0d20c6a6"
HypothesisTests = "09f84164-cd44-5f33-b23f-e6b0d136a0d5"
Ipopt = "b6b21f68-93f8-5de0-b562-5493be1d77c9"
JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
MLJModels = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Suppressor = "fd094767-a336-5f1f-9728-57cf17d0bbfb"
ZipFile = "a5390f91-8eb1-5f08-bee0-b1d1ffed6cea"
[compat]
CSV = "^0.7, 0.8"
CategoricalArrays = "^0.8, 0.9, 0.10"
DataFrames = "^0.21, 0.22, 1.0"
Distributions = "^0.23.8, 0.24, 0.25"
Downloads = "1.4"
ForwardDiff = "^0.10.12"
GLPK = "^0.13, 0.14"
HypothesisTests = "^0.10"
Ipopt = "^0.6, 0.7"
JuMP = "^0.21"
MLJBase = "^0.14.4, 0.15, 0.16, 0.17, 0.18"
MLJModelInterface = "^0.3, 0.4, 1.0"
MLJModels = "^0.11, 0.12, 0.13, 0.14"
ProgressMeter = "1.4"
StatsBase = "^0.33"
Suppressor = "0.2"
ZipFile = "0.9"
julia = "1"
[extras]
DecisionTree = "7806a523-6efd-50cb-b5f6-3fa6f1930dbb"
MLJDecisionTreeInterface = "c6f25543-311c-4c74-83dc-3ea6d1015661"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
[targets]
test = ["DecisionTree", "MLJDecisionTreeInterface", "Test"]