Project.toml

name = "SeriesForecast"
imgname = "forecast"
version = "0.0.2"

[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
Observables = "510215fc-4207-5dde-b226-833fc4488ee2"
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59"
HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
PlotlyBase = "a03496cd-edff-5a9b-9e67-9cda94a718b5"
Lux = "b2108857-7c20-44ae-9111-449ecde12c47"
DiffEqFlux = "aae7a2af-3d4f-5e19-a356-7da93b79d9d0"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
GenieFramework = "a59fdf5c-6bf0-4f5d-949c-a137c9e2f353"
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
OptimizationOptimisers = "42dfb2eb-d2b4-4451-abcd-913932933ac1"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"

[Genie]
instantiated_pwd = "/Users/pere/genie/genieawesome/SeriesForecast"