Project.toml

name = "MLCourse"
uuid = "bdb52a37-b1f4-4443-a4d5-f8ef0db855e0"
authors = ["Johanni Brea <jbrea@users.noreply.github.com>"]
version = "0.3.0"

[deps]
ARFFFiles = "da404889-ca92-49ff-9e8b-0aa6b4d38dc8"
ArrayInterface = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"
Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
Clustering = "aaaa29a8-35af-508c-8bc3-b662a17a0fe5"
CodecZlib = "944b1d66-785c-5afd-91f1-9de20f533193"
Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
CondaPkg = "992eb4ea-22a4-4c89-a5bb-47a3300528ab"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
GLMNet = "8d5ece8b-de18-5317-b113-243142960cc6"
HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
HTML_Entities = "7693890a-d069-55fe-a829-b4a6d304f0ee"
HypertextLiteral = "ac1192a8-f4b3-4bfe-ba22-af5b92cd3ab2"
ImageMagick = "6218d12a-5da1-5696-b52f-db25d2ecc6d1"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
LIBSVM = "b1bec4e5-fd48-53fe-b0cb-9723c09d164b"
Languages = "8ef0a80b-9436-5d2c-a485-80b904378c43"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
MLJClusteringInterface = "d354fa79-ed1c-40d4-88ef-b8c7bd1568af"
MLJDecisionTreeInterface = "c6f25543-311c-4c74-83dc-3ea6d1015661"
MLJFlux = "094fc8d1-fd35-5302-93ea-dabda2abf845"
MLJGLMInterface = "caf8df21-4939-456d-ac9c-5fefbfb04c0c"
MLJLIBSVMInterface = "61c7150f-6c77-4bb1-949c-13197eac2a52"
MLJLinearModels = "6ee0df7b-362f-4a72-a706-9e79364fb692"
MLJModels = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
MLJMultivariateStatsInterface = "1b6a4a23-ba22-4f51-9698-8599985d3728"
MLJTuning = "03970b2e-30c4-11ea-3135-d1576263f10f"
MLJXGBoostInterface = "54119dfa-1dab-4055-a167-80440f4f7a91"
Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
MultivariateStats = "6f286f6a-111f-5878-ab1e-185364afe411"
NearestNeighborModels = "636a865e-7cf4-491e-846c-de09b730eb36"
OpenML = "8b6db2d4-7670-4922-a472-f9537c81ab66"
Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
PlotlyBase = "a03496cd-edff-5a9b-9e67-9cda94a718b5"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Pluto = "c3e4b0f8-55cb-11ea-2926-15256bba5781"
PlutoPlotly = "8e989ff0-3d88-8e9f-f020-2b208a939ff0"
PlutoSliderServer = "2fc8631c-6f24-4c5b-bca7-cbb509c42db4"
PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8"
PrecompilePlutoCourse = "031ef55e-ae57-4a95-aa50-04a4c1cc4953"
PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Requires = "ae029012-a4dd-5104-9daa-d747884805df"
ScientificTypes = "321657f4-b219-11e9-178b-2701a2544e81"
Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
TSne = "24678dba-d5e9-5843-a4c6-250288b04835"
Tar = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e"
TextAnalysis = "a2db99b7-8b79-58f8-94bf-bbc811eef33d"
UMAP = "c4f8c510-2410-5be4-91d7-4fbaeb39457e"
Unicode = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"

[compat]
CSV = "0.9,0.10"
Clustering = "0.14,0.15"
Distributions = "0.25"
FileIO = "1.11"
Flux = "0.12,0.13,0.14"
GLMNet = "0.7"
MLJFlux = "0.2,0.3,0.4,0.5"
MLJGLMInterface = "0.2,0.3"
MLJMultivariateStatsInterface = "0.2,0.3,0.4,0.5"
MLJTuning = "0.6,0.7,0.8"
MLJXGBoostInterface = "0.1,0.2,0.3"
MultivariateStats = "0.8,0.9,0.10"
NearestNeighborModels = "0.1,0.2"
PlutoSliderServer = "0.3"
PlutoUI = "0.7"
PrecompilePlutoCourse = "0.2"
ScientificTypes = "3"
StatsPlots = "0.14,0.15"
Zygote = "0.6"
julia = "1.6"

[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
utest = ["Test"]