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Project.toml
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[deps]
AlgebraOfGraphics = "cbdf2221-f076-402e-a563-3d30da359d67"
CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
DSP = "717857b8-e6f2-59f4-9121-6e50c889abd2"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DecisionTree = "7806a523-6efd-50cb-b5f6-3fa6f1930dbb"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
LIBSVM = "b1bec4e5-fd48-53fe-b0cb-9723c09d164b"
MAT = "23992714-dd62-5051-b70f-ba57cb901cac"
MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
MLJDecisionTreeInterface = "c6f25543-311c-4c74-83dc-3ea6d1015661"
MLJFlux = "094fc8d1-fd35-5302-93ea-dabda2abf845"
MLJLIBSVMInterface = "61c7150f-6c77-4bb1-949c-13197eac2a52"
MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
MLJModels = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
MLJMultivariateStatsInterface = "1b6a4a23-ba22-4f51-9698-8599985d3728"
MLJScikitLearnInterface = "5ae90465-5518-4432-b9d2-8a1def2f0cab"
Markdown = "d6f4376e-aef5-505a-96c1-9c027394607a"
NearestNeighborModels = "636a865e-7cf4-491e-846c-de09b730eb36"
Pipe = "b98c9c47-44ae-5843-9183-064241ee97a0"
Pluto = "c3e4b0f8-55cb-11ea-2926-15256bba5781"
PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
PyMNE = "6c5003b2-cbe8-491c-a0d1-70088e6a0fd6"
PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ScikitLearn = "3646fa90-6ef7-5e7e-9f22-8aca16db6324"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
TSne = "24678dba-d5e9-5843-a4c6-250288b04835"
TopoPlots = "2bdbdf9c-dbd8-403f-947b-1a4e0dd41a7a"
Unfold = "181c99d8-e21b-4ff3-b70b-c233eddec679"
UnfoldMakie = "69a5ce3b-64fb-4f22-ae69-36dd4416af2a"