-
Notifications
You must be signed in to change notification settings - Fork 4
/
Copy pathProject.toml
37 lines (36 loc) · 1.7 KB
/
Project.toml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
name = "GeCo"
uuid = "bb73a72f-30aa-4434-8cb8-ff2962d4f247"
authors = ["Maximilian Schleich <[email protected]>"]
version = "0.1.0"
[deps]
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DataFramesMeta = "1313f7d8-7da2-5740-9ea0-a2ca25f37964"
DecisionTree = "7806a523-6efd-50cb-b5f6-3fa6f1930dbb"
GR = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
GeneralizedGenerated = "6b9d7cbe-bcb9-11e9-073f-15a7a543e2eb"
JLD = "4138dd39-2aa7-5051-a626-17a0bb65d9c8"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
MLDataPattern = "9920b226-0b2a-5f5f-9153-9aa70a013f8b"
MLDataUtils = "cc2ba9b6-d476-5e6d-8eaf-a92d5412d41d"
MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
MLJDecisionTreeInterface = "c6f25543-311c-4c74-83dc-3ea6d1015661"
MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
MLJModels = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
MLJScientificTypes = "2e2323e0-db8b-457b-ae0d-bdfb3bc63afd"
ObservationDims = "bd245535-7a0d-4808-be35-e2fe847ca032"
Plotly = "58dd65bb-95f3-509e-9936-c39a10fdeae7"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
ProfileView = "c46f51b8-102a-5cf2-8d2c-8597cb0e0da7"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
SIMD = "fdea26ae-647d-5447-a871-4b548cad5224"
ScikitLearn = "3646fa90-6ef7-5e7e-9f22-8aca16db6324"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
Traceur = "37b6cedf-1f77-55f8-9503-c64b63398394"