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    # Oct 11, 2024: aeon Module Meeting (Classification and Regression) ###### tags: `aeon-module-meeting` #### Oct 11, 2024 @ 12:00PM UTC #### Previous meeting: N/A Present: TB MM CH ### Topics - Bugs currently four bugs labelled classification, one regression *#1646 [BUG] BasicMotions results for HC2 not reproducible when numba turned off* worth testing if this is still true with new mac tests *#1696 [BUG] Arsenal predict not working properly?!* not really a bug any more, but can leave it as it describes a threading issue *#1726 [BUG] HC2 sporadic CI failure* again, worth testing if this is still the case *#2179 [BUG] freeze on import of aeon.classification.convolution_based* came in during the meeting, need to look at it *#2151 [BUG] MR-Hydra regressor non deterministic* seems to have gone away https://github.com/aeon-toolkit/aeon/pull/2154 - PRs there are five open draft classification PRs, two normal PRs for regression, one for coverage (#2175) and #2154. No actions needed - Issues 17 open classification issues, seven for regression Implement algorithms: TS-CHIEF (#170), PF2 (#428), disjoint-CNN (#1902), TD-MVDC (#2081), Bugsx4 (See above), *#663 [ENH] Interpretability for HIVE-COTE V2 Classifier * would be nice, big job *#1155 [ENH] Remove the unused inner types for collections we agreed to remove nested_univ and df-lst. Tony will do it. *#1599 [ENH] Tag for capability to making probabilistic predictions for classification* Agreed in principle, complex in implementation, caused by composite algorithms that call sklearn predict_proba. Currently not really worth the effort to solve. *#1686 [ENH] standardised naming and structures for shapelet classifiers* definitely desirable, not spare capacity atm *#1742 [ENH] Replace SFA with SFAFast in REDCOMETS* hopefully the author zy18811 will find time to do this. *#1777[ENH] Add class_weight parameter to classifiers that use sklearn based estimators with testing* Not sure if this has been fully resolved #1886 n_jobs/_n_jobs needs tidying up, tag changed because not just classification *#1952 Add test that the estimator "algorithm_type" is valid* should be easy, may not have explained well what I want *#2089 [ENH] Split RocketClassifier and RocketRegressor into multiple classes* Agreed to split Rockets if matthew wants to ### Future directions - unequal length capabilities Issue with numba lists and length distance use: always convert to numba list, look at that and use this model to convert. Chris H. - Unequal sampled (transformer) - HIVE-COTE regression (research) - possibly add axis parameter and unify with series ### Discussion discussed current CI slowness, found problem and solved it. ### Actions Bugs - [ ] Test if #1646 and #1726 are still bugs - [ ] Review #2151 - [ ] Read and respond to new bug - [x] Split rockets - [ ] Add test for valid estimator tags - [ ] check if class weights finished, if not list algorithms still to do ### Next meeting date TBC

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