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Project.toml
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name = "CherenkovDeconvolution"
uuid = "7995dc16-b5cc-11e8-32a0-21341f07e0b5"
authors = ["Mirko Bunse <[email protected]>"]
version = "0.3.1"
[deps]
Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
Discretizers = "6e83dbb3-75ca-525b-8ae2-3751f0dd50b4"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
Polynomials = "f27b6e38-b328-58d1-80ce-0feddd5e7a45"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
ScikitLearn = "3646fa90-6ef7-5e7e-9f22-8aca16db6324"
ScikitLearnBase = "6e75b9c4-186b-50bd-896f-2d2496a4843e"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
[compat]
Conda = "1.7"
Discretizers = "3.2"
Optim = "0.22, 1"
Polynomials = "1.1 - 3.1"
PyCall = "1.92 - 1.94"
Reexport = "0.2, 1"
ScikitLearn = "0.6"
ScikitLearnBase = "0.5"
StatsBase = "0.33"
julia = "1"
[extras]
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
MLDataUtils = "cc2ba9b6-d476-5e6d-8eaf-a92d5412d41d"
NBInclude = "0db19996-df87-5ea3-a455-e3a50d440464"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
YAML = "ddb6d928-2868-570f-bddf-ab3f9cf99eb6"
[targets]
test = ["DataFrames", "Distances", "MLDataUtils", "NBInclude", "Statistics", "Test", "YAML"]