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[ENH] Added AutoPlait segmentation algorithm. #2765

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@danielroberts20 danielroberts20 commented Apr 27, 2025

What does this implement/fix? Explain your changes.

Added Segmenter implementation for AutoPlait time series segmentation algorithm [1]. AutoPlait models a time series using Hidden Markov Models to determine when to stay or switch between different models (known as regimes). Time ticks at which it is cost-effective (according to Minimum Description Length) to switch between regimes are identified as change points of segments. AutoPlait is also able to identify common patterns in a time series.

[1] Yasuko Matsubara, Yasushi Sakurai, and Christos Faloutsos. "AutoPlait: Automatic Mining of Co-evolving Time Sequences." SIGMOD 2014. (DOI)

Any other comments?

This algorithm forms part of university dissertation that is in it's final days before submission. As such, some areas of the code are not as polished/Pythonic as I would like them to be. Any suggestions for changes are welcome.

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For new estimators and functions

dr1n22 and others added 30 commits November 30, 2024 00:08
Fork: merged main into dev
@aeon-actions-bot aeon-actions-bot bot added enhancement New feature, improvement request or other non-bug code enhancement segmentation Segmentation package labels Apr 27, 2025
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Thank you for contributing to aeon

I have added the following labels to this PR based on the title: [ $\color{#FEF1BE}{\textsf{enhancement}}$ ].
I have added the following labels to this PR based on the changes made: [ $\color{#0e8a16}{\textsf{segmentation}}$ ]. Feel free to change these if they do not properly represent the PR.

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@danielroberts20 danielroberts20 marked this pull request as ready for review April 27, 2025 21:41
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Thanks. Seems to be a couple of errors currently. Any chance you have some results which show this is comparable in performance to the original?

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