Releases: JuliaML/LossFunctions.jl
Releases · JuliaML/LossFunctions.jl
v0.11.2
LossFunctions v0.11.2
Merged pull requests:
- Bump actions/checkout from 3 to 4 (#175) (@dependabot[bot])
- Bump actions/cache from 3 to 4 (#176) (@dependabot[bot])
- Bump codecov/codecov-action from 3 to 4 (#177) (@dependabot[bot])
- Bump peter-evans/create-pull-request from 5 to 6 (#178) (@dependabot[bot])
- Bump julia-actions/setup-julia from 1 to 2 (#179) (@dependabot[bot])
- fix: load Requires.jl only if needed (#180) (@avik-pal)
v0.11.1
LossFunctions v0.11.1
Closed issues:
- Very slow loss aggregation (#172)
Merged pull requests:
- Improve aggregation speeds by using
eachindex
instead ofiterate
(#173) (@MilesCranmer)
v0.11.0
LossFunctions v0.11.0
Closed issues:
v0.10.1
LossFunctions v0.10.1
Closed issues:
- Convert CategoricalArrays.jl to extension? (#167)
Merged pull requests:
- Use
JuliaFormatter.jl
to format source code (#164) (@eliascarv) - Move CategoricalArrays.jl into extension (#168) (@MilesCranmer)
v0.10.0
LossFunctions v0.10.0
Merged pull requests:
v0.9.0
v0.8.1
LossFunctions v0.8.1
Closed issues:
- Release tags on repo are not up to date with General.jl (#152)
Merged pull requests:
- remove unneeded generated function for OrdinalMarginLoss constructor (#153) (@vtjnash)
- Bump actions/cache from 1 to 3 (#154) (@dependabot[bot])
- Bump actions/checkout from 2 to 3 (#155) (@dependabot[bot])
- Bump codecov/codecov-action from 1 to 3 (#156) (@dependabot[bot])
v0.8.0
LossFunctions v0.8.0
Closed issues:
v0.7.2
LossFunctions v0.7.2
Closed issues:
- Cannot use LossFunctions in Julia 1.0 (#142)
Merged pull requests: