[ENH] KDD 2024 tutorial code checklist

[MatthewMiddlehurst]

Some potential issues which need work for the upcoming KDD tutorial:

• [ ] Add tests to ensure distances work with scikit-learn estimators/interface @dguijo => #1838
• [ ] Revisit pipeline testing for both classification and regression, ensure it works for both learning tasks with collection and series transformers @MatthewMiddlehurst => #1853
• [ ] Finish off estimator specific visualisation techniques
  • [ ] Temporal importance curves for interval classifiers @MatthewMiddlehurst
  • [x] Most informative shapelets for STC and RDST @baraline => #1824
• [ ] Add some general visualisation methods for evaluating feature importance
• [ ] Add composable estimators for tuning classifiers and regressors
• [ ] Add composable estimators for creating ensembles of classifiers and regressors @MatthewMiddlehurst =>#1853
• [x] Clean up networks for use in the demonstration (i.e. proper testing and remove deprecated base) @hadifawaz1999 => #1817
• [ ] Add contents to benchmarking for the EEG example