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chore(version): increment version to 0.4.0
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## v0.4.0 (2024-07-25) | ||
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### Build | ||
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* build: ignore the stub build issue in editable installs ([`347ed74`](https://github.com/adaptive-machine-learning/CapyMOA/commit/347ed74dbe4ef2c523a5ed784273b2d5831adc27)) | ||
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### Documentation | ||
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* docs(tutorial.rst): add talks section ([`c5a339b`](https://github.com/adaptive-machine-learning/CapyMOA/commit/c5a339b9b8188bceea46bb5393a337e55d03539a)) | ||
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* docs(drift): update drift detector docs ([`4c69478`](https://github.com/adaptive-machine-learning/CapyMOA/commit/4c6947875c31979fe7f04e592ebeb31e6951d63d)) | ||
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* docs: rebase ([`748cc94`](https://github.com/adaptive-machine-learning/CapyMOA/commit/748cc9433dc48dd2d99fdab834cac1632594ee45)) | ||
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* docs: use ``sphinx.ext.autosummary`` to generate more complete api docs ([`01d270f`](https://github.com/adaptive-machine-learning/CapyMOA/commit/01d270f25c69a37917b8a184758d60e338754b08)) | ||
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* docs: add about us page ([`f3af4d5`](https://github.com/adaptive-machine-learning/CapyMOA/commit/f3af4d5ce08caa2c04a05901ebc4f644334ea16b)) | ||
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### Feature | ||
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* feat(Anomaly-Detection): add cumulative and prequential evaluation for anomaly ([`a8124bc`](https://github.com/adaptive-machine-learning/CapyMOA/commit/a8124bc5d2ce4abe0191a714ab5f5199d04f8a55)) | ||
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* feat: updated evaluation | ||
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Co-authored-by: Spencer Sun <[email protected]> | ||
Co-authored-by: Heitor Murilo Gomes <[email protected]> ([`cc13390`](https://github.com/adaptive-machine-learning/CapyMOA/commit/cc133900b2553fd3bdc1afac3a3961ddd5594259)) | ||
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* feat: add recurrent concept drift API ([`24327fc`](https://github.com/adaptive-machine-learning/CapyMOA/commit/24327fcb0f9df15fa9b90f1a8234561a57d6d3a6)) | ||
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* feat: drift detection API | ||
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Co-authored-by: Vitor Cerqueira <[email protected]> ([`50d76ad`](https://github.com/adaptive-machine-learning/CapyMOA/commit/50d76ad9b9ae8dd6b4725b8cbc28f5367d498a8b)) | ||
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* feat(anomaly): add ``OnlineIsolationForest`` anomaly detector ([`5a57bb0`](https://github.com/adaptive-machine-learning/CapyMOA/commit/5a57bb024e5213bcbb5ca25f73b681c84d856d0f)) | ||
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* feat: add anomaly_threshold and size_limit parameters to HalfSpaceTree (#135) | ||
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Co-authored-by: Heitor Murilo Gomes <[email protected]> ([`21804d0`](https://github.com/adaptive-machine-learning/CapyMOA/commit/21804d093661f5d628d5869716d8d9a15f72d20d)) | ||
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* feat(Misc): add unit tests for model save and load functionality ([`739f8af`](https://github.com/adaptive-machine-learning/CapyMOA/commit/739f8af3ac9044896b3f6b7307bd120004c59ae8)) | ||
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### Fix | ||
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* fix: updating evaluation to use prequential results ([`2b6abab`](https://github.com/adaptive-machine-learning/CapyMOA/commit/2b6abab0278215700ae6f7fdcc2f850b39cb2a19)) | ||
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* fix: fix issue saving and loading models ([`04d9207`](https://github.com/adaptive-machine-learning/CapyMOA/commit/04d9207b6cdda17a190117057335a662a189ec93)) | ||
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### Test | ||
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* test: speed up ``parallel_ensembles.ipynb`` ([`e9a6bb0`](https://github.com/adaptive-machine-learning/CapyMOA/commit/e9a6bb0ad634537fa96a21fa5f681292db39080e)) | ||
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* test: rename name of unit test ([`4dbecb3`](https://github.com/adaptive-machine-learning/CapyMOA/commit/4dbecb3ed47573b34ca2411b3ea74ca427f5df68)) | ||
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## v0.3.1 (2024-06-10) | ||
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### Chore | ||
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* chore(version): increment version to 0.3.1 ([`c065d18`](https://github.com/adaptive-machine-learning/CapyMOA/commit/c065d183695944793243475bb88a6ed8caf8b43a)) | ||
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### Fix | ||
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* fix: updating tutorials formatting ([`36a0a29`](https://github.com/adaptive-machine-learning/CapyMOA/commit/36a0a29d006036bacbacb1215ec0665b86b9c499)) | ||
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CAPYMOA_VERSION="0.3.1" | ||
CAPYMOA_VERSION="0.4.0" |
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__version__="0.3.1" | ||
__version__="0.4.0" |