For a 0.15.10 release

[ablaom]

#462 #468 #463

To do:

• Resolve Problem installing python scikit-learn in CI MLJScikitLearnInterface.jl#42
• Need this merged and released: Extend Flux compatibility to include 0.13 OutlierDetectionJL/OutlierDetectionNetworks.jl#7 (otherwise can't get lates BetaML release to load concurrently with OutlierDetectionNetworks)

[codecov-commenter]

Codecov Report

Merging #469 (adf82cb) into master (831b117) will increase coverage by 1.50%.
The diff coverage is 14.60%.

@@            Coverage Diff             @@
##           master     #469      +/-   ##
==========================================
+ Coverage   75.42%   76.93%   +1.50%     
==========================================
  Files          12       16       +4     
  Lines        1050     1097      +47     
==========================================
+ Hits          792      844      +52     
+ Misses        258      253       -5     

Impacted Files	Coverage Δ
src/MLJModels.jl	100.00% <ø> (ø)
src/registry/src/activate_registry_project.jl	0.00% <0.00%> (ø)
src/registry/src/check_registry.jl	0.00% <0.00%> (ø)
src/registry/src/update.jl	0.00% <0.00%> (ø)
src/registry/test/info_dict.jl	92.00% <ø> (ø)
src/loading.jl	67.94% <77.77%> (+5.59%)	⬆️
src/builtins/Transformers.jl	96.24% <100.00%> (ø)
src/init.jl	100.00% <100.00%> (ø)
src/registry/src/Registry.jl	100.00% <100.00%> (+100.00%)	⬆️
... and 1 more

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[ablaom]

Needs resolution of: JuliaAI/MLJScikitLearnInterface.jl#42

[ablaom]

@OkonSamuel Can you please add your hack to .github/workflows/check_registry.yml to (hopefully) resolve the fail here?

[OkonSamuel]

@OkonSamuel Can you please add your hack to .github/workflows/check_registry.yml to (hopefully) resolve the fail here?

@ablaom
I worked on it in #470, but the check_registry.yml still fails due to MissingImputator and GMMClusterer.
On further investigation, I found out that MLJ registry load paths for GMMClusterer and MissingImputor are invalid. See https://github.com/JuliaAI/MLJModels.jl/blob/ldpath/src/registry/Metadata.toml#L269, https://github.com/JuliaAI/MLJModels.jl/blob/dev/src/registry/Metadata.toml#L301, https://github.com/sylvaticus/BetaML.jl/blob/v0.7.1/src/Imputation/Imputation_MLJ.jl#L251,
https://github.com/sylvaticus/BetaML.jl/blob/v0.7.1/src/GMM/GMM_MLJ.jl#L149