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[ENH] Implement Proximity Tree classifier using aeon distances #1566

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merged 40 commits into from
Jun 27, 2024

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itsdivya1309
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@itsdivya1309 itsdivya1309 commented May 24, 2024

Related to: #159

We implemented the ProximityTree class using aeon distances.
This will be used to create the Proximity Forest class.

  • Coded the ProximityTree class
  • Wrapped Gini functions with Numba
  • Wrote unit tests
  • Added the class to docs/api_reference

@aeon-actions-bot aeon-actions-bot bot added classification Classification package enhancement New feature, improvement request or other non-bug code enhancement labels May 24, 2024
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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: [ $\color{#BCAE15}{\textsf{classification}}$ ]. Feel free to change these if they do not properly represent the PR.

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this is good. From our end @MatthewMiddlehurst we should set up a pipeline for running experiments to check equivalence to the Java results, as that was the heart of the problem last time. No rush of course, project has not started yet :)

@itsdivya1309 itsdivya1309 changed the title [ENH] Implement Proximity Forest classifier using aeon.distances [ENH] Implement Proximity Tree classifier using aeon distances Jun 14, 2024
@MatthewMiddlehurst MatthewMiddlehurst added the codecov actions Run the codecov action on a PR label Jun 14, 2024
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I have completed the framework for Proximity Tree along with it's API.

@itsdivya1309 itsdivya1309 marked this pull request as ready for review June 17, 2024 03:28
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@baraline baraline left a comment

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A few comments on “surface” content, I'll have a proper look at the algorithmic correctness a bit later

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Looks good for the most part, left a few comments. We may revisit this later down the line if there are issues, but appears to be fine for now.

I would add this to the API documentation in docs/ in this PR.

There are some if statements here which are not covered by testing. Not going to block this PR because of them, but if you find the time and can figure out how to get to them reasonably it would be nice. https://app.codecov.io/gh/aeon-toolkit/aeon/pull/1566/blob/aeon/classification/distance_based/_proximity_tree.py

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Try merging the main branch for the pre-commit test, I will take a further look if it does not work after.

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Try merging the main branch for the pre-commit test, I will take a further look if it does not work after.

I have merged the main branch, but it is still failing.

TonyBagnall
TonyBagnall previously approved these changes Jun 21, 2024
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non blocking changes from me, looks good

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@MatthewMiddlehurst MatthewMiddlehurst left a comment

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LGTM

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lgtm, thanks

@TonyBagnall TonyBagnall merged commit fd27e7f into aeon-toolkit:main Jun 27, 2024
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4 participants