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Project.toml
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Project.toml
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name = "DensityRatioEstimation"
uuid = "ab46fb84-d57c-11e9-2f65-6f72e4a7229f"
authors = ["Kai Xu <[email protected]>", "Júlio Hoffimann <[email protected]>"]
version = "1.3.1"
[deps]
ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
[weakdeps]
Convex = "f65535da-76fb-5f13-bab9-19810c17039a"
ECOS = "e2685f51-7e38-5353-a97d-a921fd2c8199"
Ipopt = "b6b21f68-93f8-5de0-b562-5493be1d77c9"
JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
[extensions]
DensityRatioEstimationConvexExt = ["Convex", "ECOS"]
DensityRatioEstimationJuMPExt = ["JuMP", "Ipopt"]
DensityRatioEstimationOptimExt = "Optim"
[compat]
ChainRulesCore = "1.25.0"
Convex = "0.15, 0.16"
ECOS = "1"
GPUArraysCore = "0.1, 0.2"
Ipopt = "1"
JuMP = "1"
LinearAlgebra = "1.9"
Optim = "1"
Parameters = "0.12"
Random = "1.9"
Statistics = "1.9"
StatsBase = "0.33, 0.34"
julia = "1.9"