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Tags: JuliaML/LossFunctions.jl

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v1.0.1

[Diff since v1.0.0](v1.0.0...v1.0.1)

**Merged pull requests:**
- Fix docs: Typo on DWDMarginLoss (#183) (@floffy-f)

v1.0.0

[Diff since v0.11.2](v0.11.2...v1.0.0)

**Merged pull requests:**
- Bump peter-evans/create-pull-request from 6 to 7 (#181) (@dependabot[bot])
- Bump codecov/codecov-action from 4 to 5 (#182) (@dependabot[bot])

**Closed issues:**
- Multivariate Loss (#39)
- Quadratic Weighted Kappa (#107)
- Refactoring of codebase (#126)
- Adding ELPD (#144)
- Hausdorff Loss (#146)
- Lipschitz constants for Lipschitz losses ? (#148)

v0.11.2

[Diff since v0.11.1](v0.11.1...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

[Diff since v0.11.0](v0.11.0...v0.11.1)

**Closed issues:**
- Very slow loss aggregation (#172)

**Merged pull requests:**
- Improve aggregation speeds by using `eachindex` instead of `iterate` (#173) (@MilesCranmer)

v0.11.0

[Diff since v0.10.1](v0.10.1...v0.11.0)

**Closed issues:**
- Type of vectors for aggregated losses overly restrictive? (#109)
- Update documentation (#166)
- Do not export traits by default (#170)

v0.10.1

[Diff since v0.10.0](v0.10.0...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

[Diff since v0.9.0](v0.9.0...v0.10.0)



**Merged pull requests:**
- Add documentation deploy & Update Documenter.jl version (#161) (@eliascarv)
- Refactor AggMode submodule and types (#162) (@juliohm)
- Remove value in favor of functor interface (#163) (@juliohm)

v0.9.0

## LossFunctions v0.9.0

[Diff since v0.8.1](v0.8.1...v0.9.0)


**Closed issues:**
- No difference between `WeightedMean` and `WeighedSum` when `normalize=false` (#149)
- Revisiting MLJ <-> LossFunctions.jl integration (#157)

**Merged pull requests:**
- Remove ObsDim to generalize the code for iterables of observations (#158) (@juliohm)
- Revert order of arguments (#159) (@juliohm)

v0.8.1

## LossFunctions v0.8.1

[Diff since v0.8.0](v0.8.0...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

[Diff since v0.7.2](v0.7.2...v0.8.0)


**Closed issues:**
- LogCosh Loss (#136)
- MethodError: objects of type L2DistLoss are not callable (#138)