v0.6.0#

December 2023

Highlights#

A deprecation policy is now in place for aeon and its subpackages.
New classification algorithms are available in RED CoMETS and LITETime.
A clustering subpackage for deep learning clustering has been added.
A new experimental similarity search subpackage has been added, and the annotation module has been split into segmentation and anomaly detection.
Minkowski distance has been added to distances.
Lots of small improvements and bug fixes!

Anomaly Detection#

Other#

[ENH] refactor annotation into segmentation and anomaly detection (#782) @TonyBagnall

Benchmarking#

Bug Fixes#

[ENH,BUG] CD plot function has been simplified, fixing some errors. (#902) @dguijo
[BUG, ENH] Fixes several issues and enhances plotting module (#950) @dguijo

Enhancements#

[ENH,BUG] CD plot function has been simplified, fixing some errors. (#902) @dguijo
[ENH] remove two calls to convert_to (#947) @TonyBagnall
[BUG, ENH] Fixes several issues and enhances plotting module (#950) @dguijo

Classification#

Bug Fixes#

[BUG] Correct pipeline test fails (#855) @TonyBagnall
[BUG] Callables for KNN (#967) @TonyBagnall

Documentation#

[DOC] Enhance distance function related docs (#969) @TonyBagnall

Enhancements#

[ENH] Adds RED CoMETS classifier (#779) @zy18811
[ENH] Shapelet transform changes (#857) @TonyBagnall
[ENH] change collection conversions from convert_to to convert_collection (#838) @TonyBagnall
[ENH] Support unequal length for rdst (#891) @baraline
[ENH] Remove case sensitivity from Rocket transform argument (#911) @TonyBagnall
[ENH] Adding LITETime for Deep Learning classifiers (#923) @hadifawaz1999
[ENH] DL Refactor (#937) @TonyBagnall
[ENH] Swap transformer used in SummaryClassifier (#978) @MatthewMiddlehurst

Other#

[ENH] Adapt ShapeletTransform to work with unequal length (#820) @TonyBagnall

Clustering#

Bug Fixes#

[ENH] Allow callables in TimeSeriesKMedoids (#925) @TonyBagnall

Documentation#

[DOC] Kmeans updated default for averaging method (#880) @chrisholder
[DOC] Enhance distance function related docs (#969) @TonyBagnall

Enhancements#

[ENH] Deep Clustering module basis with an auto encoder FCN based example (#697) @hadifawaz1999
[ENH] Allow callables in TimeSeriesKMedoids (#925) @TonyBagnall
[ENH] Make clustering files private (#943) @TonyBagnall

Maintenance#

[MNT] Reduce test params for AEFCNClusterer (#868) @hadifawaz1999
[MNT] Replacing BA by Mean in AEFCNClusterer test params (#879) @hadifawaz1999

Datasets#

Bug Fixes#

[BUG] Ignore extra whitespace in loader (#884) @TonyBagnall
[ENH] Add timestamped data loading for collections (#887) @TonyBagnall
[BUG] Check if multiindex store unequal length series (#928) @TonyBagnall
[BUG] test forecasting loader return meta data (#972) @TonyBagnall

Enhancements#

[ENH] Error message for incorrect unequal length multivariate input (#867) @TonyBagnall
[ENH] Improve coverage for datasets module (#888) @TonyBagnall
[ENH] Add timestamped data loading for collections (#887) @TonyBagnall
[ENH] Add download_dataset function to _data_loaders.py (#906) @PaulRabich
[ENH] Results loaders for published results (#890) @TonyBagnall
[ENH] default loaders to not return meta data (#953) @TonyBagnall
[ENH] Tidy up and restructure load to nested univariate (#987) @TonyBagnall

Distances#

Bug Fixes#

[ENH] Allow callables in TimeSeriesKMedoids (#925) @TonyBagnall
[BUG] Callables for KNN (#967) @TonyBagnall

Documentation#

[DOC] Enhance distance function related docs (#969) @TonyBagnall

Enhancements#

[ENH] Allow callables in TimeSeriesKMedoids (#925) @TonyBagnall
[ENH] Minkowski distance (#904) @akshatvishu

Networks#

Enhancements#

[ENH] Adding LITETime for Deep Learning classifiers (#923) @hadifawaz1999
[ENH] DL Refactor (#937) @TonyBagnall

Maintenance#

[MNT] Default InceptionTime to use original model and not H version (#921) @hadifawaz1999
[MNT] Update custom filters in H-InceptionTime and LITETime ot work with new tf versions (#949) @hadifawaz1999

Regression#

Bug Fixes#

[BUG] Correct pipeline test fails (#855) @TonyBagnall

Enhancements#

[ENH] Shapelet transform changes (#857) @TonyBagnall
[ENH] Speed up regression pipeline example (#860) @TonyBagnall
[ENH] change collection conversions from convert_to to convert_collection (#838) @TonyBagnall
[ENH] DL Refactor (#937) @TonyBagnall

Segmentation#

Other#

[ENH] refactor annotation into segmentation and anomaly detection (#782) @TonyBagnall

Similarity Search#

Enhancements#

[ENH] New similarity search module (#724) @TonyBagnall

Transformations#

Bug Fixes#

[BUG] shapelet transform square root (#915) @TonyBagnall

Documentation#

[ENH] Introduce the “Tabular” output type tag and convert remaining Transformers to CollectionTransformers (#825) @TonyBagnall

Enhancements#

[ENH] BaseCollectionTransformer inherits from BaseCollectionEstimator and BaseTransformer (#709) @TonyBagnall
[ENH] Shapelet transform changes (#857) @TonyBagnall
[ENH] Support unequal length for rdst (#891) @baraline
[ENH] remove nested_univ from Tabularizer (#897) @TonyBagnall
[ENH] Add algorithm type tag to convolutional transformers (#930) @TonyBagnall
[ENH] Add algorithm type tag to dictionary transformers (#931) @TonyBagnall
[ENH] Add algorithm type tag to shapelet transformers (#932) @TonyBagnall
[ENH] remove nested_univ from TSFresh test (#945) @TonyBagnall
[ENH] Remove the TimeBinner transformer (#933) @TonyBagnall
[ENH] Refactor polymorphic transformers out of series directory into root (#959) @TonyBagnall

Refactored#

[ENH] Refactor interval based transformers into their own subpackage (#916) @TonyBagnall
[ENH] Refactor feature based transformers into their own subpackage (#929) @TonyBagnall

Other#

[ENH] Make MiniRocketMultivariateVariable conform to API (#839) @TonyBagnall
[ENH] Adapt ShapeletTransform to work with unequal length (#820) @TonyBagnall

Other#

Bug Fixes#

[BUG] Improve sweep.yaml comment trigger (#843) @wwzeng1
[BUG] Update sweep.yaml spacing (#901) @wwzeng1

Documentation#

[DOC] network docstrings (#799) @TonyBagnall
[DOC] Add a notebook to describe inheritance structure of base classes (#789) @TonyBagnall
[ENH] scitype variable name and doc string purge (#798) @TonyBagnall
[DOC] Update documentation files to allow easier local builds and raise sphinx bound (#796) @MatthewMiddlehurst
[MNT] Proposed aeon deprecation policy (#723) @TonyBagnall
[GOV] Code of Conduct revision (#806) @MatthewMiddlehurst
[DOC] Update documentation to add workgroups (#842) @MatthewMiddlehurst
[DOC] Updates remaining first level website pages (#847) @MatthewMiddlehurst
[Sweep Rules] Remove commented code and improve instructive comments (#850) @sweep-ai[bot]
[DOC] change n_dimensions to n_channels in all files (#918) @xiaopu222
[DOC] Add warning to installation guide for some shells (#963) @MatthewMiddlehurst
[DOC] Remove “Time series” from API titles (#980) @TonyBagnall

Enhancements#

[ENH] Fix pre-commit fails (#851) @TonyBagnall
[ENH] Refactor X_inner_mtype (#859) @TonyBagnall
[ENH] Set Draft to true in sweep.yaml (#900) @wwzeng1
[ENH] Remove upper bounds for tslearn and pmdarima (#939) @MatthewMiddlehurst
[ENH] Update numpy version (#935) @MatthewMiddlehurst
[ENH] Update scikit-learn version (#940) @MatthewMiddlehurst
[ENH] Update tensorflow (#912) @MatthewMiddlehurst
[ENH] Refactor numpyflat to be numpy2D (#941) @TonyBagnall
[ENH] Remove the alignment ADT from datatypes (#979) @TonyBagnall

Maintenance#

[MNT] Consolidate config files and add new pre-commit functionality (#340) @MatthewMiddlehurst
[MNT] Comment out mypy pre-commit hook and run pre-commit on all files. Remove individual copyright notices (#801) @MatthewMiddlehurst
[MNT] Update sweep.yaml (#821) @kevinlu1248
[MNT] Add PR testing to test-nosoftdeps-full (#823) @MatthewMiddlehurst
[MNT] Update Pull Request template (#829) @MatthewMiddlehurst
[MNT] Add new sweep rules and make current rules more specific (#828) @MatthewMiddlehurst
[MNT] Add auto label and welcoming comment workflow for PRs (#832) @MatthewMiddlehurst
[MNT] Add new periodic tests and tidy workflows (#830) @MatthewMiddlehurst
[MNT] Add workflow to update pre-commit hooks and make a PR (#831) @MatthewMiddlehurst
[MNT] Improve coverage for utils/validation (#793) @TonyBagnall
[MNT] Stop pre-commit bot on draft PR (#854) @MatthewMiddlehurst
[MNT] Always create a pull request on pre-commit update even if full run fails (#863) @MatthewMiddlehurst
[MNT] Allow manual run of certain workflows (#865) @MatthewMiddlehurst
[MNT] Remove sweep rules and sandbox options (#874) @MatthewMiddlehurst
[MNT] Always generate token for pre-commit version update workflow (#876) @MatthewMiddlehurst
[MNT] Give more time for codecov workflow tests (#877) @MatthewMiddlehurst
[MNT] Try to fix pre-commit auto update (#881) @MatthewMiddlehurst
[MNT] Use app token for other GitHub workflows (#886) @MatthewMiddlehurst
[MNT] Retry aeon install on failure for GitHub workflows (#885) @MatthewMiddlehurst
[MNT] Setup file for Dependabot (automatic dependency updates) (#892) @MatthewMiddlehurst
[MNT] Dependabot validation workflow (#903) @MatthewMiddlehurst

Refactored#

[MNT] Proposed aeon deprecation policy (#723) @TonyBagnall

Other#

[ENH] Bug and coverage for BaseCollectionTransformer (#808) @TonyBagnall
[ENH] Refactor tags to remove scitype (#800) @TonyBagnall
Improve docstrings formatting in deep learning classifiers (#814) @sweep-ai[bot]
[ENH] Refactor scitype:y to y_input_type and y_inner_mtype to y_inner_type (#810) @TonyBagnall
[GOV] New aeon governance document. (#195) @MatthewMiddlehurst
Update sweep.yaml to disable rules and fix sandbox (#878) @kevinlu1248

Contributors#

The following have contributed to this release through a collective 100 GitHub Pull Requests:

@akshatvishu, @baraline, @chrisholder, @dguijo, @hadifawaz1999, @kevinlu1248, @MatthewMiddlehurst, @PaulRabich, @TonyBagnall, @wwzeng1, @xiaopu222, @zy18811