aeon v1.0.0 Checklist

[MatthewMiddlehurst]

Describe the issue

A checklist of large-scale changes to be made for an eventual version v1.0.0

Must Have

• Remove current forecasting and BaseTransformer functionality
  • Replace BaseTransformer with a simple version containing tags and abstract methods
  • Remove experimental tag from BaseSeriesTransformer
  • Replace forecasting and BaseForecaster with simplified and more maintainable version [ENH] forecasting first PR: base, dummy, regressor and ETS #2244
• Remove the datatypes module
• Merge BaseEstimator and BaseObject
  • consider deprecation for a few of the currently available methods
• Replace current fixture/scenario based testing with a simplified testing suite.
  • Remove experimental tag for testing
  • Remove currently excluded tests where possible
• Consider removing experimental tag for other modules
• Complete any outstanding deprecation acts
  • CNN Regressor
  • CNN Classifier
  • CNN Network
  • Kmeans
  • K-shapes
  • AEFCN
  • BaseDeepClusterer
  • WeightedEnsembleClassifier
• Check through docs for incorrect statements, links etc
• Refactor distances module
• Make numpy 2.0 compliant [ENH] Numpy 2 compatibility #2218

Could have

• Move performance metrics to benchmarking
• Refactor rockets [ENH] Tidy up the rocket transformers #1699

[TonyBagnall]

we can do these things before going to 1.0.0. Personally I think 1.0.0 should come at the end of the grant

[MatthewMiddlehurst]

I think deprecating a whole module is a big enough of a change to warrant it. I don't know what would be if not. I think it's best just to get these big ones out at the same time.

[chrisholder]

I think before 1.0 we should add I better directory structure to the distance module. Currently it's just one flat directory.

Currently I was thinking we should have something like:

-> Elastic
-> Cross-Correlation
-> Lp (or a better name to describe non time series distances like Euclidean)
-> then either one or multiple directories for distances like dtt_sfa, sax and mpdist which I don't know how/where they would fall into

Will post in the distance channel