New version: MLJ v0.18.0

[JuliaRegistrator]

• Registering package: MLJ
• Repository: https://github.com/alan-turing-institute/MLJ.jl
• Created by: @ablaom
• Version: v0.18.0
• Commit: 14fae0b3e9850a54afddf7cbfbc2db439d511f5d
• Reviewed by: @ablaom
• Reference: Issue to trigger new releases JuliaAI/MLJ.jl#571 (comment)
• Description: A Julia machine learning framework
• Release notes:

This release supports changes appearing in the upstream package releases
listed below (click on package for detailed release notes).

The principal change, which is breaking, is how model
serialization works. The previous MLJ.save method still works, but
you can only save to Julia JLS files, and the format is
new and not backwards compatible. A new workflow allows for
serialization using any generic serializer; serialization now plays
nicely with model composition and model wrappers, such as TunedModel
and EnsembleModel, and training data will not be inadvertently
serialized.

Refer to this manual page details.

• MLJBase 0.20
• MLJTuning 0.7
• MLJEnsembles 0.3
• MLJIteration 0.5

The package MLJSerialization has been dropped as a dependency as
serialization functionality has moved to MLJBase.

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