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Project.toml
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Project.toml
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[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
DelimitedFiles = "8bb1440f-4735-579b-a4ab-409b98df4dab"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
GaussianMixtures = "cc18c42c-b769-54ff-9e2a-b28141a64aae"
Gurobi = "2e9cd046-0924-5485-92f1-d5272153d98b"
IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
Ipopt = "b6b21f68-93f8-5de0-b562-5493be1d77c9"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
MLBase = "f0e99cf1-93fa-52ec-9ecc-5026115318e0"
MLDataUtils = "cc2ba9b6-d476-5e6d-8eaf-a92d5412d41d"
MLKernels = "6899632a-1081-549c-8d71-752c8a25a7ba"
Memento = "f28f55f0-a522-5efc-85c2-fe41dfb9b2d9"
OneClassActiveLearning = "86a29cbe-e10f-11e8-3785-c18b489c508a"
OneClassSampling = "46e572a3-ce55-4aa8-92f8-65df49d56ad3"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SVDD = "83536b18-e0df-11e8-1e3f-f991e449cee4"
Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"