Recent Releases of aeon
aeon - aeon v1.2.0
See our changelog to view all changes for this release.
Highlights
aeonv1.2.0 drops support for Python 3.9, Python 3.10-3.13 are the currently supported versions.- Framework for whole-series anomaly detection has been implemented, and the module has been refactored into
anomaly_detection.collectionandanomaly_detection.seriessubmodules. -
ProximityForestandProximityTreeclassifiers have been improved to support unequal length and multivariate series. The classifiers are also significantly faster. - A new implementation for the
TD-MVDCclassifier - The forecasting module has been enhanced with additional methods for direct and recursive forecasting, as well as new algorithms such as ETS. This module is still in early development, and we expect framework changes in future releases.
- The similarity search module has been significantly reworked to fit the
aeonstyle framework seen in other modules. See the module examples and documentation for more details. - The start of an experimental sub-package for self supervised learning has been added in
aeon.transformations.collection.self_supervised, starting with theTRILITEalgorithm.
New Contributors
- @Ahmed-Zahran02 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2737
- @SomtoOnyekwelu made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2764
- @saadaltohamy made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2644
- @nMaax made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2622
- @AnaghDeshpande made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2546
All Contributors
@aadya940, @adityagh006, @Ahmed-Zahran02, @AnaghDeshpande, @aryanpola, @baraline, @hadifawaz1999, @inclinedadarsh, @Kaustbh, @kavya-r30, @kevinzb56, @lucifer4073, @MatthewMiddlehurst, @nMaax, @patrickzib, @pattplatt, @Ramana-Raja, @saadaltohamy, @SebastianSchmidl, @shinymack, @SomtoOnyekwelu, @steenrotsman, @tanishy7777, @TinaJin0228, @TonyBagnall
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v1.1.0...v1.2.0
- Python
Published by MatthewMiddlehurst 12 months ago
aeon - aeon v1.1.0
See our changelog to view all changes for this release.
Highlights
- Python 3.13 is now supported and dependency bounds have been raised
df-listcollections now require (n_cases,n_channels,n_timepoints) formatting. Make sure each dataframe in the list has channels as the first dimension and timepoints are the second.- The ROCKAD anomaly detector has been added
- THe KASBA clusterer has been added
- Lots of documentation improvements and bug fixes
New Contributors
- @vedpawar2254 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2424
- @adilsonmedronha made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2440
- @dschrempf made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2464
- @inclinedadarsh made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2489
- @shinymack made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2488
- @kevinzb56 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2487
- @Akhil-Jasson made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2483
- @sumana-2705 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2419
- @YashviMehta03 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2494
- @lucifer4073 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2518
- @Nikitas100 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2484
- @tanishy7777 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2613
- @Kaustbh made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2589
- @TinaJin0228 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2717
- @ayushsingh9720 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2617
- @HaroonAzamFiza made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2738
- @adityagh006 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2735
- @Val-2608 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2640
- @Ramana-Raja made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2704
All Contributors
@aadya940, @adilsonmedronha, @adityagh006, @Akhil-Jasson, @aryanpola, @ayushsingh9720, @chrisholder, @Cyril-Meyer, @dschrempf, @hadifawaz1999, @HaroonAzamFiza, @inclinedadarsh, @itsdivya1309, @Kaustbh, @kavya-r30, @kevinzb56, @lucifer4073, @MatthewMiddlehurst, @Nikitas100, @notaryanramani, @patrickzib, @pattplatt, @Ramana-Raja, @shinymack, @sumana-2705, @tanishy7777, @TinaJin0228, @TonyBagnall, @Val-2608, @vedpawar2254, @YashviMehta03
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v1.0.0...v1.1.0
- Python
Published by MatthewMiddlehurst about 1 year ago
aeon - aeon v1.0.0
First major release of aeon.
See our changelog to view all changes for this release.
Highlights
- Introduction of a new experimental forecasting module, replacing the old module (this is currently sparse, but we will expand on the framework and available estimators in the future).
- Restructuring and expansion of the clustering module, including deep learning clustering.
- Explicit split of the transformation module into series transformers and collection transformers.
- Extended anomaly detection module.
- Completely new testing suite, code coverage now 91%.
- Enhanced visualisation tools.
- Improved documentation and examples.
- Introduction of more multivariate capable deep learning estimators.
New Contributors
- @notaryanramani made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2029
- @danielroberts20 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2064
- @ferewi made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2091
- @LinGinQiu made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2141
- @georgejl7 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2173
- @fspinna made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2062
- @emmanuel-ferdman made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2275
- @pattplatt made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2342
- @kavya-r30 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2364
All Contributors
@aadya940, @alexbanwell1, @aryanpola, @baraline, @chrisholder, @Cyril-Meyer, @danielroberts20, @Datadote, @emmanuel-ferdman, @ferewi, @fspinna, @georgejl7, @griegner, @hadifawaz1999, @IRKnyazev, @itsdivya1309, @kavya-r30, @LinGinQiu, @MatthewMiddlehurst, @Moonzyyy, @notaryanramani, @patrickzib, @pattplatt, @SebastianSchmidl, @Sharathchenna, @TonyBagnall
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.11.1...v1.0.0
- Python
Published by TonyBagnall over 1 year ago
aeon - aeon v0.11.1
See our changelog to view all changes for this release.
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
- STOMP anomaly detector
- QUANT regressor
- Series search for similarity search module
- Piecewise Linear Approximation (PLA) collection transform
New Contributors
- @wenig made their first contribution in https://github.com/aeon-toolkit/aeon/pull/2031
All Contributors
@baraline, @CodeLionX, @Cyril-Meyer, @dguijo, @IRKnyazev, @MatthewMiddlehurst, @Moonzyyy, @TonyBagnall, @wenig
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.11.0...v0.11.1
- Python
Published by MatthewMiddlehurst almost 2 years ago
aeon - aeon v0.11.0
See our changelog to view all changes for this release.
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
- Added a composable ensemble for classification and regression
- New deep learning networks in AEBiGRUNetwork, AEDRNNNetwork and AEAttentionBiGRUNetwork
- Lots of bug and documentation fixes
New Contributors
- @PatriceJada made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1619
- @IRKnyazev made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1842
- @Cyril-Meyer made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1851
- @Datadote made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1873
- @phershbe made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1915
- @Sharathchenna made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1953
- @aryanpola made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1949
All Contributors
@aadya940, @aryanpola, @baraline, @chrisholder, @CodeLionX, @Cyril-Meyer, @Datadote, @dguijo, @ghost, @hadifawaz1999, @harshithasudhakar, @IRKnyazev, @itsdivya1309, @MatthewMiddlehurst, @Moonzyyy, @PatriceJada, @phershbe, @Sharathchenna, @TonyBagnall
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.10.0...v0.11.0
- Python
Published by MatthewMiddlehurst almost 2 years ago
aeon - aeon v0.10.0
See our changelog to view all changes for this release.
Highlights
- Dropped support for Python 3.8
- Announcement of deprecations for v1.0.0, includes removal and rework of the current forecasting and transformation frameworks
- New anomaly detection methods: DWT-MLEAD, K-Means, and an adapter for PyOD
- New data loaders for anomaly detection and segmentation benchmark archives
- New Proximity Tree classifier using aeon distances, Proximity Forest to follow.*
- New feature-based and dummy clusterers
- New FLUSS and BinSeg segmenters
- Addition of visualisation tools for shapelets
New Contributors
- @futuer-szd made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1640
- @Moonzyyy made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1663
- @adm-unl made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1707
- @Abhash297 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1736
- @ermshaua made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1755
All Contributors
@aadya940, @Abhash297, @adm-unl, @baraline, @chrisholder, @CodeLionX, @ermshaua, @futuer-szd, @hadifawaz1999, @itsdivya1309, @MatthewMiddlehurst, @Moonzyyy, @patrickzib, @TonyBagnall, @zy18811
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.9.0...v0.10.0
- Python
Published by MatthewMiddlehurst almost 2 years ago
aeon - aeon v0.9.0
See our changelog to view all changes for this release.
Highlights
- New anomaly detection base class and MERLIN anomaly detector
- Implementation for the RSAST classifier
- Fixes for pipelines and new clustering and collection transformer pipeline classes
- Improved model loading ability for deep learning modules
- Large number of deprecations as we port transformations over to a new interface
New Contributors
- @nileenagp made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1472
- @jasonmokk made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1515
- @nirojasva made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1383
- @maxwell1503 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1563
All Contributors
@aadya940, @AnonymousCodes911, @baraline, @chrisholder, @CodeLionX, @hadifawaz1999, @itsdivya1309, @jasonmokk, @MatthewMiddlehurst, @maxwell1503, @nileenagp, @nirojasva, @TonyBagnall
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.8.1...v0.9.0
- Python
Published by MatthewMiddlehurst about 2 years ago
aeon - aeon v0.8.1
See our changelog to view all changes for this release.
Highlights
- Mostly bug fixes, documentation improvements and new deprecations
- Subgradient barycentre averaging is available for clustering
New Contributors
- @wayneadams made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1396
- @griegner made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1458
- @RishavKumarSinha made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1462
All Contributors
@aadya940, @AnonymousCodes911, @chrisholder, @CodeLionX, @hadifawaz1999, @harshithasudhakar, @itsdivya1309, @MatthewMiddlehurst, @TonyBagnall, @tvilight4, @vNtzYy
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.8.0...v0.8.1
- Python
Published by MatthewMiddlehurst about 2 years ago
aeon - aeon v0.8.0
See our changelog to view all changes for this release.
Highlights
- Deprecations from 0.7.0 have been removed, see the package deprecation sections for more details
- typing-extensions has been added as a core dependency
- The following deep learners are now available for regression:
IndividualLITERegressor,LITETimeRegressorandEncoderRegressor - The
HydraRegressorandMultiRocketHydraRegressoralgorithms have been implemented for regression module - A wrapper for the
tslearnLearningShapeletsclassifier has been added - Support for unequal length in pairwise distance calculation for the SBD and MSM distances is now available, this will be expanded to other distances in time
New Contributors
- @harshithasudhakar made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1299
- @tvilight4 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1213
- @vNtzYy made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1329
All Contributors
@aadya940, @AnonymousCodes911, @chrisholder, @CodeLionX, @hadifawaz1999, @harshithasudhakar, @itsdivya1309, @MatthewMiddlehurst, @TonyBagnall, @tvilight4, @vNtzYy
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.7.1...v0.8.0
- Python
Published by MatthewMiddlehurst about 2 years ago
aeon - aeon v0.7.1
See our changelog to view all changes for this release.
Highlights
- Adds the
RIST,Hydra,MR-HydraandQUANTclassifiers - Adds the above for regression also, as well as
MLPRegressor,RDSTRegressorand simple feature-based regressors - Adds the
SBDdistance - Website updates and improvements, including advertisement for GSoC 2024!
New Contributors
- @Raya679 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1163
- @itsdivya1309 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1146
- @nimanzik made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1192
- @Vedant222 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1203
- @aadya940 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1215
- @AnonymousCodes911 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1245
- @CodeLionX made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1236
All Contributors
@aadya940, @AnonymousCodes911, @baraline, @chrisholder, @CodeLionX, @hadifawaz1999, @itsdivya1309, @MatthewMiddlehurst, @nimanzik, @Raya679, @TonyBagnall, @Vedant222
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.7.0...v0.7.1
- Python
Published by MatthewMiddlehurst over 2 years ago
aeon - aeon v0.7.0
See our changelog to view all changes for this release.
Highlights
- Implementations of the
SASTTransformerandSASTClassifier fit_predict/fit_predict_probamethods inBaseClassifierfor (sensibly) estimating accuracy on train data- ResNet based auto-encoder to deep learning
clusteringmodule - Introducing
BaseSegmenterfor segmentation module - Python 3.12 is now available!
- Various additions, documentation updates, and implementations for the
visualisationmodule - Many deprecations of old and unmaintained functionality (if you wish to help maintaining these, please get in touch!)
New Contributors
- @frankl1 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/958
- @andregdmitri made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1065
- @jose-gilberto made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1073
- @julu98 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/1112
All Contributors
@andregdmitri, @baraline, @dguijo, @frankl1, @hadifawaz1999, @hedeershowk, @jose-gilberto, @julu98, @MatthewMiddlehurst, @patrickzib, @TonyBagnall, @xiaopu222, @zy18811
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.6.0...v0.7.0
- Python
Published by MatthewMiddlehurst over 2 years ago
aeon - aeon v0.6.0
See our changelog to view all changes for this release.
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!
New Contributors
- @zy18811 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/779
- @wwzeng1 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/843
- @PaulRabich made their first contribution in https://github.com/aeon-toolkit/aeon/pull/906
- @xiaopu222 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/918
- @akshatvishu made their first contribution in https://github.com/aeon-toolkit/aeon/pull/904
All Contributors
@akshatvishu, @baraline, @chrisholder, @dguijo, @hadifawaz1999, @kevinlu1248, @MatthewMiddlehurst, @PaulRabich, @TonyBagnall, @wwzeng1, @xiaopu222, @zy18811
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.5.0...v0.6.0
- Python
Published by MatthewMiddlehurst over 2 years ago
aeon - aeon v0.5.0
See our changelog to view all changes for this release.
Following this release the deprecation policy remains suspended. Future releases may have breaking changes, so it may be wise to set an upper bound on the package version. It is likely a deprecation policy will be implemented and enforced starting v0.6.0, however.
Highlights
- New distance measures with ADTW and ShapeDTW (@chrisholder, @hadifawaz1999)
- Multiple new functions in the benchmarking module for creating figures i.e. Critical difference diagrams (@dguijo)
- New example notebooks and tidied versions of existing ones
- Lots of new bugfixes and testing to keep our estimators bug free (as much as possible at least)!
New Contributors
- @sylvaincom made their first contribution in https://github.com/aeon-toolkit/aeon/pull/671
- @hedeershowk made their first contribution in https://github.com/aeon-toolkit/aeon/pull/739
- @steenrotsman made their first contribution in https://github.com/aeon-toolkit/aeon/pull/746
- @kgmuzungu made their first contribution in https://github.com/aeon-toolkit/aeon/pull/745
- @kevinlu1248 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/777
All Contributors
@chrisholder, @dguijo, @hadifawaz1999, @haskarb, @hedeershowk, @kevinlu1248, @kgmuzungu, @MatthewMiddlehurst, @patrickzib, @steenrotsman, @sylvaincom, @TonyBagnall
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.4.0...v0.5.0
- Python
Published by MatthewMiddlehurst over 2 years ago
aeon - aeon v0.4.0
See our changelog to view all changes for this release.
Following this release the deprecation policy remains suspended. Future releases may have breaking changes, so it may be wise to set an upper bound on the package version.
Highlights
- Data downloading functions for popular classification, regression and forecasting archives are now available
- Implementations for the RSTSF interval-based and the RDST shapelet-based classifiers have been added to the classification module
- Time series adaptations for the PAM, CLARA, CLARANS clustering algorithms have been added to the clustering module
- The interval-based forests in the classification module have been reworked to use a new base class, including speed-ups and also allowing the implementation of regression versions (RISERegressor, CIFRegressor and DrCIFRegressor)
- ResNet and FCN deep learning regressors are now available
- Large portions of the website documentation have been overhauled, including the examples page and introduction notebooks for data types and data loading
All Contributors
@baraline, @chrisholder, @hadifawaz1999, @MatthewMiddlehurst, @TonyBagnall
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.3.0...v0.4.0
- Python
Published by MatthewMiddlehurst almost 3 years ago
aeon - aeon v0.3.0
See our changelog to view all changes for this release.
Following this release the deprecation policy remains suspended. Future releases may have breaking changes, so it may be wise to set an upper bound on the package version.
Highlights
- An interface to the MrSQM algorithm has been added to the classification module.
- k-NN estimators and the Elastic Ensemble classifier now support unequal length series.
- The SAX transformation has been refactored to improve performance.
- A new collection transformer base class has been added to the transformations module for more efficient transformation using collections of time series.
- A rework of the benchmarking module has begun, starting with the introduction of functionality from
kotsu
New Contributors
- @DBCerigo made their first contribution in https://github.com/aeon-toolkit/aeon/pull/379
- @RafaAyGar made their first contribution in https://github.com/aeon-toolkit/aeon/pull/335
All Contributors
@chrisholder, @DBCerigo, @GuiArcencio, @hadifawaz1999, @MatthewMiddlehurst, @RafaAyGar, @TonyBagnall
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.2.0...v0.3.0
- Python
Published by MatthewMiddlehurst about 3 years ago
aeon - aeon v0.2.0
See our changelog to view all changes for this release.
Following this release the deprecation policy remains suspended. Future releases may have breaking changes, so it may be wise to set an upper bound on the package version.
Highlights
- aeon now supports Python 3.11!
- New estimators are available in the regression package, including InceptionTime (@hadifawaz1999) and FreshPRINCE (@dguijo)
- The distances module has been reworked, and the distances available are now faster (@chrisholder)
- The RandomDilatedShapeletTransform for collections of series is now available (@baraline)
- The 'Getting Started' page on the documentation has been rewritten with clearer introductions to each module
New Contributors
- @baraline made their first contribution in https://github.com/aeon-toolkit/aeon/pull/310
- @GuzalBulatova made their first contribution in https://github.com/aeon-toolkit/aeon/pull/404
- @dguijo made their first contribution in https://github.com/aeon-toolkit/aeon/pull/384
All Contributors
@baraline, @chrisholder, @dguijo, @GuiArcencio, @GuzalBulatova, @hadifawaz1999, @lmmentel, @MatthewMiddlehurst, @TonyBagnall
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/v0.1.0...v0.2.0
- Python
Published by MatthewMiddlehurst about 3 years ago
aeon - aeon v0.1.0
See our changelog to view all changes for this release.
Following this release the deprecation policy remains suspended. Future releases may have breaking changes, so it may be wise to set an upper bound on the package version.
Highlights
- aeon is now available on PyPI!
- pandas 2 support is available for core functionality
- Deep learning approaches in the classification module have been reworked and are more configurable
- New estimators for classification in Inception Time (@hadifawaz1999) and WEASEL 2.0 (@patrickzib)
- Improved transformers for selecting channels of multivariate time series (@haskarb)
New Contributors
- @MatthewMiddlehurst made their first contribution in https://github.com/aeon-toolkit/aeon/pull/10
- @aiwalter made their first contribution in https://github.com/aeon-toolkit/aeon/pull/13
- @TonyBagnall made their first contribution in https://github.com/aeon-toolkit/aeon/pull/12
- @patrickzib made their first contribution in https://github.com/aeon-toolkit/aeon/pull/58
- @lmmentel made their first contribution in https://github.com/aeon-toolkit/aeon/pull/60
- @GuiArcencio made their first contribution in https://github.com/aeon-toolkit/aeon/pull/66
- @scorcism made their first contribution in https://github.com/aeon-toolkit/aeon/pull/120
- @chrisholder made their first contribution in https://github.com/aeon-toolkit/aeon/pull/132
- @haskarb made their first contribution in https://github.com/aeon-toolkit/aeon/pull/135
- @hadifawaz1999 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/134
All Contributors
@aiwalter, @chrisholder, @GuiArcencio, @hadifawaz1999, @haskarb, @lmmentel, @MatthewMiddlehurst, @patrickzib, @scorcism, @TonyBagnall
Full Changelog: https://github.com/aeon-toolkit/aeon/compare/sktime-v0.16.0...v0.1.0
- Python
Published by MatthewMiddlehurst about 3 years ago
aeon - aeon v0.1.0rc0
This is an early pre-release of aeon.
This is mainly for testing purposes, a full changelog of changes from sktime v0.16.0 will be provided in a later version or the release proper.
To install Full Changelog: https://github.com/aeon-toolkit/aeon/compare/sktime-v0.16.0...v0.1.0rc0aeon pre-releases from PyPI, use:
python -m pip install --pre aeon
Auto generated changelog:
What's Changed
š Features
_fit_transform method in BaseTransformer by @MatthewMiddlehurst in https://github.com/aeon-toolkit/aeon/pull/91prefer="threads" to classification Parallel usage by @MatthewMiddlehurst in https://github.com/aeon-toolkit/aeon/pull/93ComposableTimeSeriesForestRegressor by @MatthewMiddlehurst in https://github.com/aeon-toolkit/aeon/pull/92convolution_based rename by @MatthewMiddlehurst in https://github.com/aeon-toolkit/aeon/pull/90capability:contractable and capability:train_estimate tags by @MatthewMiddlehurst in https://github.com/aeon-toolkit/aeon/pull/89sktime to aeon by @MatthewMiddlehurst in https://github.com/aeon-toolkit/aeon/pull/161aeon in config files by @MatthewMiddlehurst in https://github.com/aeon-toolkit/aeon/pull/157dash by @MatthewMiddlehurst in https://github.com/aeon-toolkit/aeon/pull/206
New Contributors
- @MatthewMiddlehurst made their first contribution in https://github.com/aeon-toolkit/aeon/pull/10
- @aiwalter made their first contribution in https://github.com/aeon-toolkit/aeon/pull/13
- @TonyBagnall made their first contribution in https://github.com/aeon-toolkit/aeon/pull/12
- @patrickzib made their first contribution in https://github.com/aeon-toolkit/aeon/pull/58
- @lmmentel made their first contribution in https://github.com/aeon-toolkit/aeon/pull/60
- @GuiArcencio made their first contribution in https://github.com/aeon-toolkit/aeon/pull/66
- @scorcism made their first contribution in https://github.com/aeon-toolkit/aeon/pull/120
- @chrisholder made their first contribution in https://github.com/aeon-toolkit/aeon/pull/132
- @haskarb made their first contribution in https://github.com/aeon-toolkit/aeon/pull/135
- @hadifawaz1999 made their first contribution in https://github.com/aeon-toolkit/aeon/pull/134
- Python
Published by MatthewMiddlehurst over 3 years ago
aeon - sktime v0.16.0 (pre-fork)
Final pre-fork release. Subsequent releases will deviate from the original sktime repository, with the first release having breaking changes.
(see also https://github.com/sktime/sktime/releases/tag/v0.16.0)
- Python
Published by MatthewMiddlehurst over 3 years ago