Project.toml

name = "LowRankModels"
uuid = "15d4e49f-4837-5ea3-a885-5b28bfa376dc"
keywords = ["matrix factorization", "missing data", "imputation"]
license = "MIT"
version = "1.1.1"

[deps]
Arpack = "7d9fca2a-8960-54d3-9f78-7d1dccf2cb97"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
NMF = "6ef6ca0d-6ad7-5ff6-b225-e928bfa0a386"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Requires = "ae029012-a4dd-5104-9daa-d747884805df"
ScikitLearnBase = "6e75b9c4-186b-50bd-896f-2d2496a4843e"
SharedArrays = "1a1011a3-84de-559e-8e89-a11a2f7dc383"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"

[compat]
julia = "1.3"
DataFrames = "0.21"
Arpack = "0.4"
NMF = "0.4"
Optim = "1"
Requires = "1"
ScikitLearnBase = "0.5"
StatsBase = "0.33"

[extras]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Parsers = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0"
RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
ScikitLearnBase = "6e75b9c4-186b-50bd-896f-2d2496a4843e"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["DataFrames", "RDatasets", "ScikitLearnBase", "Test"]