forked from CliMA/CalibrateEmulateSample.jl
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathProject.toml
More file actions
62 lines (58 loc) · 2.09 KB
/
Copy pathProject.toml
File metadata and controls
62 lines (58 loc) · 2.09 KB
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
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
name = "CalibrateEmulateSample"
uuid = "95e48a1f-0bec-4818-9538-3db4340308e3"
authors = ["CLIMA contributors <clima-software@caltech.edu>"]
version = "0.7.0"
[deps]
AbstractGPs = "99985d1d-32ba-4be9-9821-2ec096f28918"
AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
AdvancedMH = "5b7e9947-ddc0-4b3f-9b55-0d8042f74170"
ChunkSplitters = "ae650224-84b6-46f8-82ea-d812ca08434e"
Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
EnsembleKalmanProcesses = "aa8a2aa5-91d8-4396-bcef-d4f2ec43552d"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
GaussianProcesses = "891a1506-143c-57d2-908e-e1f8e92e6de9"
KernelFunctions = "ec8451be-7e33-11e9-00cf-bbf324bd1392"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MCMCChains = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
ProgressBars = "49802e3a-d2f1-5c88-81d8-b72133a6f568"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
RandomFeatures = "36c3bae2-c0c3-419d-b3b4-eebadd35c5e5"
ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
ScikitLearn = "3646fa90-6ef7-5e7e-9f22-8aca16db6324"
StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
[compat]
AbstractGPs = "0.5.21"
AbstractMCMC = "3.3, 4, 5"
AdvancedMH = "0.6, 0.7, 0.8"
ChunkSplitters = "3.1.2"
Conda = "1.7"
Distributions = "0.24, 0.25"
DocStringExtensions = "0.8, 0.9"
EnsembleKalmanProcesses = "2"
ForwardDiff = "0.10.38, 1"
GaussianProcesses = "0.12"
KernelFunctions = "0.10.64"
MCMCChains = "4.14, 5, 6, 7"
Printf = "1"
ProgressBars = "1"
PyCall = "1.93"
Random = "1"
RandomFeatures = "0.3"
ReverseDiff = "1.15.3"
ScikitLearn = "0.6, 0.7"
StableRNGs = "1"
Statistics = "1"
StatsBase = "0.33, 0.34"
julia = "1.6, 1.7, 1.8, 1.9, 1.10, 1.11"
[extras]
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
[targets]
test = ["Test"]