New version: MLJBase v1.0.0

[JuliaRegistrator]

• Registering package: MLJBase
• Repository: https://github.com/JuliaAI/MLJBase.jl
• Created by: @ablaom
• Version: v1.0.0
• Commit: 34fb4936b8f4d140c0b9206a369b22a5217db98b
• Reviewed by: @ablaom
• Reference: Issue to trigger releases JuliaAI/MLJBase.jl#345 (comment)
• Description: Core functionality for the MLJ machine learning framework
• Release notes:

• (breaking) Remove the definition of all measures (mae, log_loss, etc), which are instead to be be loaded from StatisticalMeasures.jl. Remove completely measures previously corresponding to loss functions in LossFunctions.jl, which must now be explicitly imported and wrapped. For Julia < 1.9, make StatisticalMeasures a hard dependency and re-export it's names. For Julia 1.9 provide default measures for models using a Pkg extension, including StatisticalMeasures.jl as a weak dependency. See this migration guide for dealing with these breaking changes.

• (breaking) Remove the LossFunctions.jl dependency to close New version FCA: 0.2.2 #570.

• Adapt the resampling (evaluate!) code (and a semi-duplication for model Stacks) to the new measure API set out in StatisticalMeasuresBase.jl.

• (breaking) Remove deprecated @pipeline and @from_network macros (New version: CSV v0.5.5 #932)

• (breaking) Remove target as alias for transformer in TransformedTargetModel (New version: PowerModelsAnnex v0.2.1 #933)

[github-actions]

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