aeon release v1.4.0 (#3353)

* 1.3.0->1.4.0

* changelog

* Update changelog for version 1.4

* Automatic `pre-commit` fixes

* Update changelog for version 1.4

* Add link to changelog for version 1.4.0

* Update changelog for version 1.4

---------

Co-authored-by: Matthew Middlehurst <pfm15hbu@gmail.com>
Co-authored-by: MatthewMiddlehurst <25731235+MatthewMiddlehurst@users.noreply.github.com>

Author: TonyBagnall

README.md

@@ -13,7 +13,7 @@ Our goal is to provide a comprehensive collection of state-of-the-art time
 series algorithms, with efficient implementations powered by `numba`, and to promote
 reproducible research in the field of time series machine learning.
 
-The latest `aeon` release is `v1.3.0`. You can view the full changelog
+The latest `aeon` release is `v1.4.0`. You can view the full changelog
 [here](https://www.aeon-toolkit.org/en/stable/changelog.html).
 
 Our webpage and documentation is available at https://aeon-toolkit.org.

aeon/__init__.py

@@ -1,3 +1,3 @@
 """aeon toolkit."""
 
-__version__ = "1.3.0"
+__version__ = "1.4.0"

docs/changelog.md

@@ -9,6 +9,7 @@ To stay up to date with `aeon` releases, subscribe to aeon
 [here](https://libraries.io/pypi/aeon) or follow us on
 [LinkedIn](https://www.linkedin.com/company/aeon-toolkit/).
 
+- [Version 1.4.0](changelogs/v1.4.md)
 - [Version 1.3.0](changelogs/v1.3.md)
 - [Version 1.2.0](changelogs/v1.2.md)
 - [Version 1.1.0](changelogs/v1.1.md)

docs/changelogs/v1.4.md

@@ -0,0 +1,197 @@
+# v1.4.0
+
+March 2026
+
+## Highlights
+
+- New native implementations of estimators, including: ROCKAD anomaly detector; K-Shape clusterer; TS-QUAD configuration for in ElasticEnsemble classifier; ETS/AutoETS and DeepARF forecasters; and STL, MSTL and LOWESS transformers
+- Most classification and regression data is now loaded from Zenodo, including from the Multiverse, a relaunched multivariate classification archive
+- Deprecate Python 3.10 and allow Python 3.14, along with altering version bounds for many core derpendencies
+- Plenty of bug fixes and deprecation actions
+
+Thanks to our 28 contributors with 89 pull requests since the last release.
+
+## Anomaly Detection
+
+- [BUG] Fix broken fit_predict in anomaly detection & add tests ({pr}`3185`) {user}`Adityakushwaha2006`
+- [ENH] Add whole-series ROCKAD anomaly detector ({pr}`2871`) {user}`pattplatt`
+- [ENH] Improve and add testing to label validation ({pr}`3310`) {user}`MatthewMiddlehurst`
+
+## Classification
+
+- [BUG] Fix bug in WEASELTransformerV2.fit_transform() method (Issue #3283) ({pr}`3284`) {user}`patrickzib`
+- [BUG] Return TDE and HC2 to expected results test skip ({pr}`3322`) {user}`TonyBagnall`
+- [BUG] Enforce at least one of each class for  dummy classifier test ({pr}`3341`) {user}`TonyBagnall`
+- [BUG] Enforce balanced test data for sklearn compatible testing ({pr}`3342`) {user}`TonyBagnall`
+- [DOC] Add missing exceptions to KNeighborsTimeSeriesClassifier Raises section ({pr}`3255`) {user}`Varshinibhargav-17`
+- [ENH] Expose n_shapelets_ attribute in RDST Transformer and Classifier ({pr}`3196`) {user}`satwiksps`
+- [ENH] Implement TS-QUAD configuration option in ElasticEnsemble ({pr}`3126`) {user}`Nithurshen`
+- [ENH] adding type hints for files in aeon/classification/deep_learning ({pr}`3241`) {user}`stephanielees`
+- [ENH] add unequal-length time series support for tsfresh-based methods ({pr}`3187`) {user}`jsquaredosquared`
+- [ENH] Improve and add testing to label validation ({pr}`3310`) {user}`MatthewMiddlehurst`
+- [DOC]: correct load_classification function name from 2023 -> 2021 ({pr}`3346`) {user}`kennaruk`
+
+## Clustering
+
+- [BUG] FIX DRNN load bug ({pr}`3074`) {user}`PipaFlores`
+- [BUG] KASBA bug fixes ({pr}`3120`) {user}`chrisholder`
+- [BUG] Petitjean averaging parallel flag ({pr}`3123`) {user}`chrisholder`
+- [DOC]: fix typo in custom_alignment_path docstring ({pr}`3243`) {user}`devesh-047`
+- [ENH] Validation loss for deep learning clustering #3039 ({pr}`3046`) {user}`PipaFlores`
+- [ENH] add unequal-length time series support for tsfresh-based methods ({pr}`3187`) {user}`jsquaredosquared`
+- [ENH] Port in kshape ({pr}`3314`) {user}`TonyBagnall`
+- [ENH] deprecate TSLearnKShape ({pr}`3343`) {user}`TonyBagnall`
+- [ENH] Cluster initialisation refactor ({pr}`3122`) {user}`chrisholder`
+- [MNT] Update tslearn dependency to >=0.7.0 and fix kshape tests ({pr}`3119`) {user}`Nithurshen`
+- [MNT] Add missing load_model test for deep clusterers (Fixes #3080) ({pr}`3111`) {user}`satwiksps`
+- [MNT] Update expected results for tslearn kshape ({pr}`3305`) {user}`MatthewMiddlehurst`
+- [BUG] MSM bug fixes ({pr}`3121`) {user}`chrisholder`
+
+## Datasets
+
+- [BUG] Add load_regression encoding parameter ({pr}`3087`) {user}`Cyril-Meyer`
+- [BUG] Fix imports for .ts saver and defaults for unequal transforms ({pr}`3089`) {user}`MatthewMiddlehurst`
+- [ENH] Add new datasets to monash list. ({pr}`3118`) {user}`alexbanwell1`
+- [BUG] Fix #3203 - Use proper file names in load_regression method  ({pr}`3204`) {user}`Lucky-Lodhi2004`
+- [ENH] Update download_all_regression to use extended TSER 2024 archive ({pr}`3240`) {user}`devesh-047`
+- [ENH] Add loaders  for Monster datasets with hugging_face dependency ({pr}`3141`) {user}`rwtarpit`
+- [ENH] Multiverse: change all loaders to zenodo, include new problems ({pr}`3304`) {user}`TonyBagnall`
+- [DEP] deprecate loader arguments ({pr}`3355`) {user}`TonyBagnall`
+- [DOC] Tidy up TSC lists ({pr}`3354`) {user}`TonyBagnall`
+
+## Distances
+
+- [BUG] MSM bug fixes ({pr}`3121`) {user}`chrisholder`
+- [ENH] Implement O(N) space complexity for dtw_distance ({pr}`3258`) {user}`raphaelgimenezneto`
+- [DOC] dtw_distance window parameter doc ({pr}`#3200`) {user}`Lucky-Lodhi2004`
+
+## Forecasting
+
+- [BUG] Fix ETS bug ({pr}`3286`) {user}`alexbanwell1`
+- [ENH] ETS/AutoETS docs ({pr}`3295`) {user}`TonyBagnall`
+- [ENH] Added `DeepARForecaster` to aeon/toolkit ({pr}`3051`) {user}`lucifer4073`
+- [ENH] Implement series_to_series forecaster mixin ({pr}`3146`) {user}`rwtarpit`
+- [ENH] Add Working AutoETS algorithm ({pr}`3253`) {user}`alexbanwell1`
+- [ENH] Make the ACF function more efficient ({pr}`3296`) {user}`TonyBagnall`
+- [ENH] Add exogenous variable support to ARIMA ({pr}`3116`) {user}`satwiksps`
+
+## Networks
+
+- [BUG] Cast numpy scalars to int for Dense layer units ({pr}`3182`) {user}`Adityakushwaha2006`
+- [ENH] Added `DeepARForecaster` to aeon/toolkit ({pr}`3051`) {user}`lucifer4073`
+- [ENH] Validation loss for deep learning clustering #3039 ({pr}`3046`) {user}`PipaFlores`
+- [BUG] Initialize _metrics in build_model for all Deep Learning estimators ({pr}`3198`) {user}`satwiksps`
+- [ENH] Added NBeatsNetwork to aeon/networks ({pr}`3057`)) {user}`lucifer4073`
+
+## Regression
+
+- [ENH] add unequal-length time series support for tsfresh-based methods ({pr}`3187`) {user}`jsquaredosquared`
+- [ENH] Improve and add testing to label validation ({pr}`3310`) {user}`MatthewMiddlehurst`
+- [ENH] Add Feature load_model to Deep Regressor Ensembles ({pr}`3130`) {user}`rwtarpit`
+- [DOC] Add Raises section to KNeighborsTimeSeriesRegressor docstring ({pr}`3337`) {user}`Varshinibhargav-17`
+
+## Segmentation
+
+- [BUG] Fix zero-distance instability in Hidalgo (#3068) ({pr}`3115`) {user}`satwiksps`
+- [BUG] Fix HidalgoSegmenter IndexError with empty sampling (Fixes #3168) ({pr}`3169`) {user}`samay2504`
+- [ENH] Add primitive type hints to segmentation module ({pr}`3252`) {user}`vickysharma-prog`
+
+## Transformations
+
+- [BUG] Fix imports for .ts saver and defaults for unequal transforms ({pr}`3089`) {user}`MatthewMiddlehurst`
+- [BUG] Fix bug in WEASELTransformerV2.fit_transform() method (Issue #3283) ({pr}`3284`) {user}`patrickzib`
+- [ENH] Expose n_shapelets_ attribute in RDST Transformer and Classifier ({pr}`3196`) {user}`satwiksps`
+- [ENH] Make transformers inherit `TransformerMixin` and add `CollectionToSeriesWrapper` ({pr}`2812`) {user}`MatthewMiddlehurst`
+- [ENH] add unequal-length time series support for tsfresh-based methods ({pr}`3187`) {user}`jsquaredosquared`
+- [ENH] Optimize ROCKET GPU PPV calculation for 1.45× speedup ({pr}`3232`) {user}`Adityakushwaha2006`
+- [ENH] STL and MSTL transformer ({pr}`2960`) {user}`TinaJin0228`
+- [ENH] Separate inverse_transform as a mixin for transformers ({pr}`3018`) {user}`MatthewMiddlehurst`
+- [ENH] LOWESS smoother ({pr}`3321`) {user}`TonyBagnall`
+
+## Visualisations
+
+- [ENH] MCM plot function tidy. ({pr}`3099`) {user}`MatthewMiddlehurst`
+- [ENH] text overrun on plot_critical_difference #3098 ({pr}`3138`) {user}`Lucky-Lodhi2004`
+- [ENH] Temporal importance curves with sklearn decision trees ({pr}`3327`) {user}`MatthewMiddlehurst`
+
+## Other
+
+### Bugs
+
+- [BUG] Handling series with extremely small scale  ({pr}`3315`) {user}`MatthewMiddlehurst`
+
+### Deprecation
+
+- [DEP] Remove deprecated data savers, validation methods and transform update method ({pr}`3309`) {user}`MatthewMiddlehurst`
+
+### Documentation
+
+- [Doc] A fix to inconsistent ticks in Base module ({pr}`2734`) {user}`Ahmed-Zahran02`
+- [DOC] Fix 15 broken estimator links by refactoring path resolution logic ({pr}`3172`) {user}`Adityakushwaha2006`
+- [DOC] Update community support channels to include Discord ({pr}`3129`) {user}`hadifawaz1999`
+- [DOC] Discord links and small workflow fix ({pr}`3256`) {user}`MatthewMiddlehurst`
+- [DOC] Fix typo in contributing guide ({pr}`3281`) {user}`NikVince`
+- [DOC] Add examples to validation utility functions ({pr}`3225`) {user}`nimra06`
+- [DOC] Add some AI policy documents and citation file ({pr}`3251`) {user}`MatthewMiddlehurst`
+- [DOC] Revise aeon paper citation and hyperlink ({pr}`3303`) {user}`MatthewMiddlehurst`
+- [DOC] Remove links to X/Twitter ({pr}`3317`) {user}`MatthewMiddlehurst`
+
+### Enhancements
+
+- [ENH] Add type hints to get_unchanged_and_required_params_as_str ({pr}`3229`) {user}`nimra06`
+- [ENH] Add n_timepoints in the metadata stored by BaseSeriesEstimator ({pr}`3163`) {user}`satwiksps`
+- [ENH] Record `fit` time in class attributes ({pr}`3331`) {user}`MatthewMiddlehurst`
+
+### Maintenance
+
+- [MNT] Update slack link ({pr}`3103`) {user}`MatthewMiddlehurst`
+- [MNT] Restrict tslearn version range in pyproject.toml ({pr}`3107`) {user}`hadifawaz1999`
+- [MNT] Replace platform-dependent np.int_ with np.intp to prevent Windows overflows ({pr}`3202`) {user}`Adityakushwaha2006`
+- [MNT] Install aeon all_extras for expected results action ({pr}`3094`) {user}`MatthewMiddlehurst`
+- [MNT] Update `numba` versioning ({pr}`3246`) {user}`MatthewMiddlehurst`
+- [MNT] `numpy` and `scipy` upper bound updates ({pr}`3247`) {user}`MatthewMiddlehurst`
+- [MNT] Change stale branch check to run monthly, wait longer and stop tagging people ({pr}`3280`) {user}`MatthewMiddlehurst`
+- [MNT] Parallelize Example Notebook Runs in CI ({pr}`3162`) {user}`satwiksps`
+- [MNT] Update MANIFEST.in ({pr}`3298`) {user}`MatthewMiddlehurst`
+- [MNT] Deprecate Python 3.10 and allow Python 3.14 ({pr}`3245`) {user}`MatthewMiddlehurst`
+- [MNT] raise scikit requirement to 1.6 or higher ({pr}`3340`) {user}`TonyBagnall`
+- [BUG] Enforce balanced test data for sklearn compatible testing ({pr}`3342`) {user}`TonyBagnall`
+- [MNT] Check HC2 and TDE expected results testing ({pr}`3307`) {user}`MatthewMiddlehurst`
+- [MNT] Skip tsfresh multithreading test ({pr}`3325`) {user}`MatthewMiddlehurst`
+- [REF] Refactor numba thread decorator ({pr}`3332`) {user}`MatthewMiddlehurst`
+- [MNT] Update dependencies and configuration in pyproject.toml ({pr}`3167`) {user}`TUSHARDHOKRIYA`
+- [DOC] Fix typos and enhance clarity in getting_started.md ({pr}`3134`) {user}`PoojasPatel013`
+
+## Contributors
+
+The following have contributed to this release through a collective 89 GitHub Pull Requests:
+
+{user}`Adityakushwaha2006`,
+{user}`Ahmed-Zahran02`,
+{user}`alexbanwell1`,
+{user}`chrisholder`,
+{user}`Cyril-Meyer`,
+{user}`devesh-047`,
+{user}`hadifawaz1999`,
+{user}`jsquaredosquared`,
+{user}`kennaruk`,
+{user}`lucifer4073`,
+{user}`Lucky-Lodhi2004`,
+{user}`MatthewMiddlehurst`,
+{user}`NikVince`,
+{user}`nimra06`,
+{user}`Nithurshen`,
+{user}`patrickzib`,
+{user}`pattplatt`,
+{user}`PipaFlores`,
+{user}`PoojasPatel013`,
+{user}`raphaelgimenezneto`,
+{user}`rwtarpit`,
+{user}`samay2504`,
+{user}`satwiksps`,
+{user}`stephanielees`,
+{user}`TinaJin0228`,
+{user}`TonyBagnall`,
+{user}`TUSHARDHOKRIYA`,
+{user}`Varshinibhargav-17`,
+{user}`vickysharma-prog`

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "aeon"
-version = "1.3.0"
+version = "1.4.0"
 description = "A toolkit for time series machine learning"
 authors = [
     {name = "aeon developers", email = "contact@aeon-toolkit.org"},