v0.18.0

MLJ v0.18.0

Diff since v0.17.3

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 (even with non-Julia atomic models),
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.

Closed issues:

• Use of ScientificTypes and CategoricalArrays in native model (#907)
• Broken tutorial link (#917)
• For a 0.18 release (#920)

Merged pull requests:

• More doc updates and new example (#914) (@ablaom)
• Documentation update. No new release. (#916) (@ablaom)
• Address changes in MLJBase 0.20 (#921) (@ablaom)
• Update manual to reflect changes in MLJBase 0.20 (#922) (@ablaom)
• For a 0 point 18 release (#924) (@ablaom)
• For a 0.18 release (#925) (@ablaom)