Project.toml

name = "MPOPIS"
uuid = "e8a75bc8-90e1-4072-945a-20230e5738f6"
authors = ["Dylan Asmar <asmar@stanford.edu>"]
version = "0.2.0"

[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CovarianceEstimation = "587fd27a-f159-11e8-2dae-1979310e6154"
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
DomainSets = "5b8099bc-c8ec-5219-889f-1d9e522a28bf"
IntervalSets = "8197267c-284f-5f27-9208-e0e47529a953"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
ReinforcementLearning = "158674fc-8238-5cab-b5ba-03dfc80d1318"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"

[compat]
CSV = "0.10"
CovarianceEstimation = "0.2"
Distributions = "0.25"
DomainSets = "0.7"
IntervalSets = "0.7"
Plots = "1"
ProgressMeter = "1"
PyCall = "1.96"
Reexport = "1"
ReinforcementLearning = "0.11"
StatsBase = "0.34"