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Project.toml
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Project.toml
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name = "AnomalyDetection"
uuid = "2069a70b-aa58-5cc0-a11c-32e347b774c5"
authors = ["Vít Škvára <[email protected]>"]
repository = "https://github.com/smidl/AnomalyDetection.jl.git"
version = "0.1.0"
[deps]
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
DelimitedFiles = "8bb1440f-4735-579b-a4ab-409b98df4dab"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
FluxExtensions = "76425322-8995-11e8-0106-93ec95767fb2"
IterTools = "c8e1da08-722c-5040-9ed9-7db0dc04731e"
JLD = "4138dd39-2aa7-5051-a626-17a0bb65d9c8"
Lazy = "50d2b5c4-7a5e-59d5-8109-a42b560f39c0"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MLBase = "f0e99cf1-93fa-52ec-9ecc-5026115318e0"
MLDataPattern = "9920b226-0b2a-5f5f-9153-9aa70a013f8b"
MultivariateStats = "6f286f6a-111f-5878-ab1e-185364afe411"
NearestNeighbors = "b8a86587-4115-5ab1-83bc-aa920d37bbce"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
Query = "1a8c2f83-1ff3-5112-b086-8aa67b057ba1"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
ValueHistories = "98cad3c8-aec3-5f06-8e41-884608649ab7"