Tsml-eval

Release for the new `aeon` version. Drops support for Python 3.8.

The version of `aeon` used in this release is `v0.9.0`.

**Full Changelog**: https://github.com/time-series-machine-learning/tsml-eval/compare/v0.3.0...v0.4.0

Release for the new `aeon` version and Python 3.12.

The version of `aeon` used in this release is `v0.8.0`.

**Full Changelog**: https://github.com/time-series-machine-learning/tsml-eval/compare/v0.2.1...v0.3.0

Release for bakeoff 2.0 and the regression archive expansion both published in DAMI.

The version of `aeon` used in this release is `v0.6.0`.

**Full Changelog**: https://github.com/time-series-machine-learning/tsml-eval/compare/v0.2.0...v0.2.1

Adds the basics of the evaluation module. Lots of other additions and improvements for running experiments. Removes some estimators which are duplicates or experimental.

**Full Changelog**: https://github.com/time-series-machine-learning/tsml-eval/compare/v0.1.1...v0.2.0

Release for the following publication:

[A Review and Evaluation of Elastic Distance Functions for Time Series Clustering](https://tsml-eval.readthedocs.io/en/latest/publications/2023/distance_based_clustering/distance_based_clustering.html)

Release for the following publications:

[Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression](https://tsml-eval.readthedocs.io/en/latest/publications/2023/tser_archive_expansion/tser_archive_expansion.html)

[Bake off redux: a review and experimental evaluation of recent time series classification algorithms](https://tsml-eval.readthedocs.io/en/latest/publications/2023/tsc_bakeoff/tsc_bakeoff_2023.html)

[Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression](https://tsml-eval.readthedocs.io/en/latest/publications/2023/rist_pipeline/rist_pipeline.html)