Release v0.11.0 (#1996)

* new version

* changelog

* highlights

README.md

@@ -13,7 +13,7 @@ We strive to provide a broad library of time series algorithms including the
 latest advances, offer efficient implementations using numba, and interfaces with other
 time series packages to provide a single framework for algorithm comparison.
 
-The latest `aeon` release is `v0.10.0`. You can view the full changelog
+The latest `aeon` release is `v0.11.0`. 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

@@ -1,6 +1,6 @@
 """aeon toolkit."""
 
-__version__ = "0.10.0"
+__version__ = "0.11.0"
 
 __all__ = ["show_versions"]
 

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
 [Twitter](https://twitter.com/aeon_toolbox).
 
+- [Version 0.11.0](changelogs/v0.11.md)
 - [Version 0.10.0](changelogs/v0.10.md)
 - [Version 0.9.0](changelogs/v0.9.md)
 - [Version 0.8.0](changelogs/v0.8.md)

docs/changelogs/v0.11.md

@@ -0,0 +1,293 @@
+# v0.11.0
+
+August 2024
+
+Reminder: This release will be the last 0.X minor release. Other than patches, the next release will be 1.0.0 which contains a large amount of framework changes.
+
+## Highlights
+
+- Added Proximity Forest classifier ({user}`itsdivya1309`)
+- Added a composable ensemble for classification and regression ({user}`MatthewMiddlehurst`)
+- New deep learning networks in AEBiGRUNetwork, AEDRNNNetwork and AEAttentionBiGRUNetwork ({user}`aadya940`)
+- Lots of bug and documentation fixes
+
+## Anomaly Detection
+
+### Enhancements
+
+- [ENH/DOC] Unsupervised and semi-supervised usage of PyODAdapter ({pr}`1932`) {user}`CodeLionX`
+
+## Classification
+
+### Bug Fixes
+
+- [BUG] Check data shape in `predict`-like functions ({pr}`1865`) {user}`MatthewMiddlehurst`
+
+### Deprecation
+
+- [DEP] Move MRSQM to dictionary based ({pr}`1821`) {user}`TonyBagnall`
+
+### Documentation
+
+- [DOC] Fix DL classification notebook ({pr}`1862`) {user}`MatthewMiddlehurst`
+- [DOC] Update paper referenced in Arsenal docs ({pr}`1892`) {user}`Cyril-Meyer`
+- [ENH] Remove BaseClassifier unnecessary declarations ({pr}`1887`) {user}`TonyBagnall`
+- [DOC] Correct sast tags to shapelet ({pr}`1935`) {user}`IRKnyazev`
+
+### Enhancements
+
+- [ENH] Change HC2 test to balance class ({pr}`1795`) {user}`TonyBagnall`
+- [ENH] at kwargs to fit_predict to allow setting of the cv_size parameter in default ({pr}`1767`) {user}`TonyBagnall`
+- [ENH,MNT,DOC] Tidying up deep learning modules clasification/regression ({pr}`1826`) {user}`hadifawaz1999`
+- [ENH] Implement Proximity Forest classifier ({pr}`1729`) {user}`itsdivya1309`
+- [ENH] Remove BaseClassifier unnecessary declarations ({pr}`1887`) {user}`TonyBagnall`
+- [ENH] Composable ensemble for classification and regression ({pr}`1853`) {user}`MatthewMiddlehurst`
+- [ENH] Adds the option of using callable distances for kNN regressor ({pr}`1965`) {user}`dguijo`
+
+### Maintenance
+
+- [MNT] Unit testing revamp part 2: classification ({pr}`1770`) {user}`MatthewMiddlehurst`
+
+## Clustering
+
+### Bug Fixes
+
+- [BUG] Kmeans pass through random state to averaging methods ({pr}`1850`) {user}`chrisholder`
+- [BUG] Fixed CLARA issue ({pr}`1924`) {user}`chrisholder`
+- [BUG] Check data shape in `predict`-like functions ({pr}`1865`) {user}`MatthewMiddlehurst`
+
+### Documentation
+
+- [DOC][REF] K-Shape rename and add references ({pr}`1899`) {user}`Cyril-Meyer`
+
+### Maintenance
+
+- [MNT] Make input clustering algorithm for deep leaning an estimator parameter instead of string ({pr}`1944`) {user}`hadifawaz1999`
+- [MNT] Add metrics parameter for deep clustering module (#1945) ({pr}`1958`) {user}`ghost`
+
+### Refactored
+
+- [DOC][REF] K-Shape rename and add references ({pr}`1899`) {user}`Cyril-Meyer`
+
+## Datasets
+
+### Documentation
+
+- [DOC] Removed incomplete line from write_to_tsfile ({pr}`1808`) {user}`harshithasudhakar`
+- [DOC] Resolved issue 1829 - corrected docstring param return_metadata to False ({pr}`1843`) {user}`IRKnyazev`
+
+### Other
+
+- [ENH] Add support for handling file extensions in load_from_tsfile ({pr}`1953`) {user}`Sharathchenna`
+
+## Distances
+
+### Bug Fixes
+
+- [BUG] Fixed incorrect bounding enforcement ({pr}`1871`) {user}`chrisholder`
+- [BUG] Fix bug in shape dtw pairwise function ({pr}`1975`) {user}`hadifawaz1999`
+
+### Documentation
+
+- [DOC] Fix 2 typos in distances notebook ({pr}`1873`) {user}`Datadote`
+- [DOC, ENH] Updating distance's notebooks + tests to ensure sklearn compatibility ({pr}`1838`) {user}`dguijo`
+
+### Enhancements
+
+- [ENH] Plot the pairwise distance between two time series ({pr}`1977`) {user}`dguijo`
+
+## Forecasting
+
+### Documentation
+
+- [DOC] Converging towards numpy doc standards V2 - issue #1540  ({pr}`1863`) {user}`IRKnyazev`
+
+## Networks
+
+### Bug Fixes
+
+- [BUG] Fix config of AEBiGRUNetwork from encoder to auto-encoder ({pr}`1786`) {user}`hadifawaz1999`
+
+### Deprecation
+
+- [DEP] Remove old class base deep network ({pr}`1817`) {user}`hadifawaz1999`
+
+### Documentation
+
+- [DOC] Converging towards numpy doc standards V2 - issue #1540  ({pr}`1863`) {user}`IRKnyazev`
+
+### Enhancements
+
+- [ENH] Add AEBiGRUNetwork ({pr}`1583`) {user}`aadya940`
+- [ENH,MNT,DOC] Tidying up deep learning modules clasification/regression ({pr}`1826`) {user}`hadifawaz1999`
+- [ENH] Improve deep learning networks test coverage for parameters which can be list ({pr}`1851`) {user}`Cyril-Meyer`
+- [ENH] Improve deep learning networks test coverage ({pr}`1870`) {user}`Cyril-Meyer`
+- [ENH] Add AEDRNNNetwork ({pr}`1577`) {user}`aadya940`
+- [ENH] Implement AEAttentionBiGRUNetwork ({pr}`1608`) {user}`aadya940`
+
+### Maintenance
+
+- [MNT] Remove tensorflow-addons dependency ({pr}`1869`) {user}`Cyril-Meyer`
+- [MNT] Make input clustering algorithm for deep leaning an estimator parameter instead of string ({pr}`1944`) {user}`hadifawaz1999`
+
+## Regression
+
+### Bug Fixes
+
+- [BUG] Check data shape in `predict`-like functions ({pr}`1865`) {user}`MatthewMiddlehurst`
+
+### Enhancements
+
+- [ENH,MNT,DOC] Tidying up deep learning modules clasification/regression ({pr}`1826`) {user}`hadifawaz1999`
+- [ENH] Composable ensemble for classification and regression ({pr}`1853`) {user}`MatthewMiddlehurst`
+- [ENH] Adds the option of using callable distances for kNN regressor ({pr}`1965`) {user}`dguijo`
+
+### Maintenance
+
+- [MNT] Unit testing revamp part 3: regression ({pr}`1875`) {user}`MatthewMiddlehurst`
+
+## Segmentation
+
+### Documentation
+
+- [DOC] Update the docstring for BaseSegmenter ({pr}`1741`) {user}`TonyBagnall`
+
+## Similarity Search
+
+### Documentation
+
+- [DOC] Update type hints for similarity search ({pr}`1939`) {user}`phershbe`
+- [DOC] Update type hints for distance profiles ({pr}`1981`) {user}`phershbe`
+
+## Transformations
+
+### Bug Fixes
+
+- [BUG] Add names to create steps_ in CollectionPipeline ({pr}`1796`) {user}`TonyBagnall`
+- [BUG] Bug fixes for interval classes ({pr}`1988`) {user}`MatthewMiddlehurst`
+
+### Deprecation
+
+- [DEP] Remove legacy PandasAdaptor, move TabularToSeriesAdaptor to legacy ({pr}`1789`) {user}`TonyBagnall`
+- [DEP] Remove BKFilter BaseTransformer, redesign equivalent series transformer ({pr}`1788`) {user}`TonyBagnall`
+- [DEP] Remove Split mixin ({pr}`1613`) {user}`TonyBagnall`
+- [DEP] Remove redundant multivariate rockets ({pr}`1791`) {user}`TonyBagnall`
+- [DEP] Remove DateTime and FourierFeatures ({pr}`1792`) {user}`TonyBagnall`
+- [DEP] Move transformations.compose to legacy and isolate uses to forecasting. ({pr}`1790`) {user}`TonyBagnall`
+- [DEP] Move summarizer to legacy ({pr}`1833`) {user}`TonyBagnall`
+- [DEP] Remove Theta ({pr}`1832`) {user}`TonyBagnall`
+- [DEP] Move HampelFilter to legacy ({pr}`1830`) {user}`TonyBagnall`
+- [DEP] Move Lag to legacy ({pr}`1827`) {user}`TonyBagnall`
+- [DEP] Remove _IndexSubset ({pr}`1831`) {user}`TonyBagnall`
+- [DEP] Move exponent transformer to legacy ({pr}`1822`) {user}`TonyBagnall`
+- [DEP] deprecated bootstrap to legacy ({pr}`1818`) {user}`TonyBagnall`
+- [DEP] detrenders to legacy ({pr}`1819`) {user}`TonyBagnall`
+- [DEP] Remove hierarchical transformers to legacy ({pr}`1820`) {user}`TonyBagnall`
+- [DEP] Move impute to legacy ({pr}`1823`) {user}`TonyBagnall`
+- [DEP] Remove FeatureSelection transformer ({pr}`1890`) {user}`TonyBagnall`
+- [DEP] Remove FunctionTransformer ({pr}`1891`) {user}`TonyBagnall`
+- [DEP] Remove update in BaseCollectionTransformer ({pr}`1894`) {user}`TonyBagnall`
+
+### Documentation
+
+- [DOC] DFT instead of PAA in SFA docstring ({pr}`1849`) {user}`hadifawaz1999`
+- [DOC] Correct sast tags to shapelet ({pr}`1935`) {user}`IRKnyazev`
+- [DOC] Added Type Hints for _dilated_shapelet_transform  ({pr}`1949`) {user}`aryanpola`
+
+### Enhancements
+
+- [ENH] channel selector test ({pr}`1783`) {user}`TonyBagnall`
+- [ENH] Fixes in Catch22 ({pr}`1809`) {user}`Moonzyyy`
+- [ENH] Import RandomChannelSelector through init ({pr}`1933`) {user}`TonyBagnall`
+- [ENH] Added useful attributes to extracted shapelets for RDST ({pr}`1959`) {user}`IRKnyazev`
+- [ENH] Discrete Fourier Approximation Transformer ({pr}`1967`) {user}`Cyril-Meyer`
+- [ENH] add type hints to _shapelet_transform.py __init__ method ({pr}`1926`) {user}`Datadote`
+
+### Other
+
+- Added type hints for rsast and sast files ({pr}`1994`) {user}`aryanpola`
+
+## Unit Testing
+
+### Bug Fixes
+
+- [BUG] Fixed incorrect bounding enforcement ({pr}`1871`) {user}`chrisholder`
+
+### Enhancements
+
+- [ENH] Add minimum number of class labels for numpy data generators ({pr}`1974`) {user}`MatthewMiddlehurst`
+
+### Maintenance
+
+- [MNT] Add Regressor Results For Comparison ({pr}`1787`) {user}`harshithasudhakar`
+- [MNT] Fix sporadic PF breakage and `matplotlib` version bound ({pr}`1906`) {user}`MatthewMiddlehurst`
+- [MNT] Unit testing revamp part 2: classification ({pr}`1770`) {user}`MatthewMiddlehurst`
+- [MNT] Unit testing revamp part 3: regression ({pr}`1875`) {user}`MatthewMiddlehurst`
+
+## Visualisations
+
+### Bug Fixes
+
+- [BUG] Mapped input index to class index for shapelet viz  ({pr}`1943`) {user}`IRKnyazev`
+- [BUG] Corrected shapelet plot for RDST  ({pr}`1971`) {user}`IRKnyazev`
+
+### Documentation
+
+- [DOC] Update shapelet notebook ({pr}`1824`) {user}`baraline`
+
+### Enhancements
+
+- [ENH] Plot the pairwise distance between two time series ({pr}`1977`) {user}`dguijo`
+
+## Other
+
+### Bug Fixes
+
+- [BUG] get_n_channels check channels consistent ({pr}`1895`) {user}`Cyril-Meyer`
+
+### Documentation
+
+- [DOC] Typo correction in getting started guide ({pr}`1842`) {user}`IRKnyazev`
+- [DOC] Correct info for issue assign bot ({pr}`1860`) {user}`MatthewMiddlehurst`
+- [Doc] Corrected mis-rendered double references. ({pr}`1883`) {user}`IRKnyazev`
+- [DOC] Add ddtw distance to the API references ({pr}`1897`) {user}`Cyril-Meyer`
+- [DOC] Change order of build and install instructions for clarity ({pr}`1915`) {user}`phershbe`
+- [DOC] Grammar corrections to developer installation and installation ({pr}`1918`) {user}`phershbe`
+- [DOC] Shapelet classifier notebook extensions & minor docstring corrections ({pr}`1930`) {user}`IRKnyazev`
+
+### Enhancements
+
+- [ENH] Documentation fixes and function changes for `BaseCollectionEstimator` ({pr}`1864`) {user}`MatthewMiddlehurst`
+
+### Maintenance
+
+- [MNT] Adding Scorecard.yml Workflow and Scorecard Badge GOSST ({pr}`1619`) {user}`PatriceJada`
+- [MNT] `mrsqm` and `pycatch22` bounds ({pr}`1753`) {user}`MatthewMiddlehurst`
+- [MNT] Scorecard badge fix ({pr}`1804`) {user}`MatthewMiddlehurst`
+- [MNT] Update `scikit-learn` version ({pr}`1803`) {user}`MatthewMiddlehurst`
+- [MNT] Raise `numba` version bound ({pr}`1814`) {user}`MatthewMiddlehurst`
+- [MNT] Try shifting to Ubuntu 22.04 ({pr}`1929`) {user}`hadifawaz1999`
+
+## Contributors
+
+The following have contributed to this release through a collective 91 GitHub Pull Requests:
+
+{user}`aadya940`,
+{user}`aryanpola`,
+{user}`baraline`,
+{user}`chrisholder`,
+{user}`CodeLionX`,
+{user}`Cyril-Meyer`,
+{user}`Datadote`,
+{user}`dguijo`,
+{user}`ghost`,
+{user}`hadifawaz1999`,
+{user}`harshithasudhakar`,
+{user}`IRKnyazev`,
+{user}`itsdivya1309`,
+{user}`MatthewMiddlehurst`,
+{user}`Moonzyyy`,
+{user}`PatriceJada`,
+{user}`phershbe`,
+{user}`Sharathchenna`,
+{user}`TonyBagnall`

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "aeon"
-version = "0.10.0"
+version = "0.11.0"
 description = "A toolkit for machine learning from time series"
 authors = [
     {name = "aeon developers", email = "contact@aeon-toolkit.org"},