Project.toml

[deps]
BufferedStreams = "e1450e63-4bb3-523b-b2a4-4ffa8c0fd77d"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CodecZlib = "944b1d66-785c-5afd-91f1-9de20f533193"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DecisionTree = "7806a523-6efd-50cb-b5f6-3fa6f1930dbb"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
Gadfly = "c91e804a-d5a3-530f-b6f0-dfbca275c004"
HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
ImageIO = "82e4d734-157c-48bb-816b-45c225c6df19"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
MLJDecisionTreeInterface = "c6f25543-311c-4c74-83dc-3ea6d1015661"
MLJLIBSVMInterface = "61c7150f-6c77-4bb1-949c-13197eac2a52"
MLJLinearModels = "6ee0df7b-362f-4a72-a706-9e79364fb692"
MLJMultivariateStatsInterface = "1b6a4a23-ba22-4f51-9698-8599985d3728"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Pluto = "c3e4b0f8-55cb-11ea-2926-15256bba5781"
PlutoSliderServer = "2fc8631c-6f24-4c5b-bca7-cbb509c42db4"
PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Tar = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e"
Wavelets = "29a6e085-ba6d-5f35-a997-948ac2efa89a"
WaveletsExt = "8f464e1e-25db-479f-b0a5-b7680379e03f"