Capymoa

Ci

* ci: add ``pr.md`` explaining CI ([`8561add`](https://github.com/adaptive-machine-learning/CapyMOA/commit/8561add09a14d9518ef049cbe6538de8258330d4))

* ci: set sphinx 8.1.3 and add ruff target version ([`0895e32`](https://github.com/adaptive-machine-learning/CapyMOA/commit/0895e32b2f24ead141b79a20075c72161b517d5d))

* ci: add ruff formatter and linter (216) ([`f4775c1`](https://github.com/adaptive-machine-learning/CapyMOA/commit/f4775c1bca7e520932f1eb2d518eff8df5da7b60))

Documentation

* docs(api): add missing packages to api docs (239) ([`da059a2`](https://github.com/adaptive-machine-learning/CapyMOA/commit/da059a24cf252bb03510d3cce22bacc7c1b24a9c))

* docs: adding bibtex to readme, website, and cff file ([`34ab916`](https://github.com/adaptive-machine-learning/CapyMOA/commit/34ab9162e8b3c176a1f7f998b82c3c656f7bd07a))

Feature

* feat: update ``moa.jar`` (244) ([`8f044c0`](https://github.com/adaptive-machine-learning/CapyMOA/commit/8f044c01db3c5a974d480d06f44afb8b4ae79c9a))

* feat(ocl): add optional intra-task evaluation (242) ([`42ab860`](https://github.com/adaptive-machine-learning/CapyMOA/commit/42ab860a60a6ef0b449c21502392ff9296729c21))

* feat: add ocl tutorial and batch base classes ([`0eec6c6`](https://github.com/adaptive-machine-learning/CapyMOA/commit/0eec6c6462d4e90f602cb46fe2860aae542e842f))

* feat: add ocl eval loop (236) ([`e7544a0`](https://github.com/adaptive-machine-learning/CapyMOA/commit/e7544a06794898e01bae388e2c2a923473981b80))

* feat: update srp with minibatch function (227)

Updated the SRP wrapper with mini-batch function and associated moa.jar ([`e4b6ab9`](https://github.com/adaptive-machine-learning/CapyMOA/commit/e4b6ab99388d2ca317b7abf57131667f2ee16510))

* feat: add ocl streams ([`7fe5d33`](https://github.com/adaptive-machine-learning/CapyMOA/commit/7fe5d33ebfb5fba927b8526d9560b6ce1cb93e21))

* feat: update anomaly score to increase with abnormality (220)

Co-authored-by: Justin Liu <justinuliugmail.com> ([`122a7e3`](https://github.com/adaptive-machine-learning/CapyMOA/commit/122a7e380d37eeb90c5a033812c5fb5904a292a5))

Fix

* fix: remove broken typecheck in ``save_model`` for windows (246) ([`ea6f24e`](https://github.com/adaptive-machine-learning/CapyMOA/commit/ea6f24e75422b59ee41d82cdc7235f1b5ef77185))

* fix: add getter functions to Schema (241) ([`7a5aa36`](https://github.com/adaptive-machine-learning/CapyMOA/commit/7a5aa366cb2a3e950eb284bc9e92592e9eb77ad9))

* fix(OnlineIsolationForest): add random generator to assign unique seeds to OnlineIsolationTrees ([`dbb95f5`](https://github.com/adaptive-machine-learning/CapyMOA/commit/dbb95f57f2ec0d4e6fbeea6cb13b04121cfb40ad))

* fix: formatting ([`40d75e9`](https://github.com/adaptive-machine-learning/CapyMOA/commit/40d75e920af2501132695380610f1d599408a83b))

* fix: fix logic for multi-threads ([`75237b9`](https://github.com/adaptive-machine-learning/CapyMOA/commit/75237b9d59722476f74f3ee73ab88a6fc542c463))

* fix: updating .cff file for correct citation information (232) ([`1987a19`](https://github.com/adaptive-machine-learning/CapyMOA/commit/1987a192f922f8d02c3141881e66e306e7ac43a0))

* fix: leveragingbagging parameter configuration (203) ([`5c67fc9`](https://github.com/adaptive-machine-learning/CapyMOA/commit/5c67fc994eea9723059f5f49b4ead48a61832da1))

* fix: increasing title underline length ([`7b324e2`](https://github.com/adaptive-machine-learning/CapyMOA/commit/7b324e2a5a9688a3a448b17cb2c7cf14e7ad0a67))

* fix: update jpype to v1.5.1 ([`86d4d9d`](https://github.com/adaptive-machine-learning/CapyMOA/commit/86d4d9d8f33a0ee94208156c67c23b1c665db5af))

Refactor

* refactor(test_anomaly_detectors): update accuracy output value of OnlineIsolationForest ([`9d85d21`](https://github.com/adaptive-machine-learning/CapyMOA/commit/9d85d21e53d934a4333d57fa134d4d9f0efe0cd5))

* refactor: use python iterator instead of `next_instance` ([`b16268c`](https://github.com/adaptive-machine-learning/CapyMOA/commit/b16268c064ea9c348800263df844e60afc7208c5))

* refactor(stream): use pythonic iterators for streams ([`4ba4dd9`](https://github.com/adaptive-machine-learning/CapyMOA/commit/4ba4dd9c31796fbeb3d2b339f1bdf852e0e55521))

Style

* style: format to fix quality checks (228) ([`18321ff`](https://github.com/adaptive-machine-learning/CapyMOA/commit/18321ff9a7c547caa7d47f6e794c8632d1aeb046))

Test

* test: skip non-ASCII moajar test on Windows (245) ([`c9c49db`](https://github.com/adaptive-machine-learning/CapyMOA/commit/c9c49dbc13d0a99090577a28e1b5c8ebc6bdfd8e))

* test: fix test workdir and windows test import (243) ([`fe40df1`](https://github.com/adaptive-machine-learning/CapyMOA/commit/fe40df178d042f57af45fd2f23f4dac10411d963))

* test: update progrss bar test (234) ([`a931af6`](https://github.com/adaptive-machine-learning/CapyMOA/commit/a931af6e023966cf8c6e059d6fc7f767f1735d0d))

Unknown

* doc: updating collaborator name

Fixing Justin&39;s Name in the Bibtex
Authored by Yibin Sun ([`befae5b`](https://github.com/adaptive-machine-learning/CapyMOA/commit/befae5bc85367ef57f266c553848a0105d11ddef))

Chore

* chore(version): increment version to 0.8.2 ([`6253bff`](https://github.com/adaptive-machine-learning/CapyMOA/commit/6253bffda2e24c6e6ca2f4ee9c79a64f8f2fcae2))

Fix

* fix: fix release.yml ([`6be2832`](https://github.com/adaptive-machine-learning/CapyMOA/commit/6be2832f586bfd6cfab3537235ab65bb4cecb109))

Chore

* chore(version): increment version to 0.8.1 ([`49ae3ec`](https://github.com/adaptive-machine-learning/CapyMOA/commit/49ae3ecfe09e06104dd167e266b0e85f1fa0b38f))

Fix

* fix: update docker release ([`af93fca`](https://github.com/adaptive-machine-learning/CapyMOA/commit/af93fcafe907a367f9f29079722d17bd50b99c01))

Build

* build: use python 3.11, 3.12, and 3.13 ([`993b12a`](https://github.com/adaptive-machine-learning/CapyMOA/commit/993b12a588fbff88927f783dd6f9ed83c42a87c5))

Chore

* chore(version): increment version to 0.8.0 ([`6656242`](https://github.com/adaptive-machine-learning/CapyMOA/commit/66562427eb3131a2293e187b11a6f0c09cc65b5b))

* chore: updating moa jar 24-09-08 ([`b7e958c`](https://github.com/adaptive-machine-learning/CapyMOA/commit/b7e958c9acd0a25066fa61761300c31c5f793290))

Ci

* ci: fix docker triggers ([`2759800`](https://github.com/adaptive-machine-learning/CapyMOA/commit/275980060a9713a32529441e32a3b2cae36a07a4))

* ci: fix automated docker versioning ([`0cc493e`](https://github.com/adaptive-machine-learning/CapyMOA/commit/0cc493e618b13365be0699753ff760801a67fe6e))

Documentation

* docs: add autoML notebook with examples (198) ([`ac7e578`](https://github.com/adaptive-machine-learning/CapyMOA/commit/ac7e578fc1be2186d8485c40bfdd7bae1b574102))

* docs: update csmote init doc ([`0963190`](https://github.com/adaptive-machine-learning/CapyMOA/commit/09631906139b9aa19a67644693f2fa287d294d7a))

* docs: fix broken link in README ([`40e98d0`](https://github.com/adaptive-machine-learning/CapyMOA/commit/40e98d0cf782a168a479ceaef950152fbb12becf))

Feature

* feat: add optional progress bars ([`0610c4b`](https://github.com/adaptive-machine-learning/CapyMOA/commit/0610c4bd205fb0e1bb988886e3edee65143bd420))

* feat: abcd, a drift detector for univariate and multivariate data ([`5c75c24`](https://github.com/adaptive-machine-learning/CapyMOA/commit/5c75c2445e55e6f85ef9380fb7cc1e52436d3128))

* feat: add shrub ensembles for online classification

Buschjäger, S., Hess, S., & Morik, K. J. (2022, June). Shrub ensembles for
online classification. In Proceedings of the AAAI Conference on Artificial
Intelligence (Vol. 36, No. 6, pp. 6123-6131). ([`f966e32`](https://github.com/adaptive-machine-learning/CapyMOA/commit/f966e32afa080dffca364978cfcb0c76d8ceb9a7))

* feat: added wrapper code for 6 stream generators ([`ee2cd30`](https://github.com/adaptive-machine-learning/CapyMOA/commit/ee2cd305d49f801281b5913fc649b5fea0202372))

* feat: add autoclass for automl ([`b5adc95`](https://github.com/adaptive-machine-learning/CapyMOA/commit/b5adc950436f37b8fc0f966d305791d85ea8261c))

* feat: added code for led and agrawal stream generators ([`3356f00`](https://github.com/adaptive-machine-learning/CapyMOA/commit/3356f0070c66ca08eaabdab8b557a65ea7b2254e))

* feat: added drift object capabilities to arf ([`f792667`](https://github.com/adaptive-machine-learning/CapyMOA/commit/f792667754c68b26a95a6f08480ac6dbc5b9e3cf))

* feat: added weightedknn ([`e9c5757`](https://github.com/adaptive-machine-learning/CapyMOA/commit/e9c57572808bb465ebc3b2ea7ae553c7c65ea29c))

* feat: create synthetic data stream for anomaly detection

Co-authored-by: Heitor Murilo Gomes <heitor_murilo_gomesyahoo.com.br> ([`d1dbd78`](https://github.com/adaptive-machine-learning/CapyMOA/commit/d1dbd78856fcd8db1e06039adda604fc7854bb69))

* feat: clustering, 4 wrappers, notebook and documentation ([`b5c8f28`](https://github.com/adaptive-machine-learning/CapyMOA/commit/b5c8f28501d67956a326c328bf584951e2a4a9ed))

* feat: clustering methods, documentation and notebook ([`dc68be6`](https://github.com/adaptive-machine-learning/CapyMOA/commit/dc68be63907cc74a88c84be679bc51d0d232d15a))

Fix

* fix: fix numpy 2.0.0 compatibility (199) ([`7bbaa96`](https://github.com/adaptive-machine-learning/CapyMOA/commit/7bbaa963950cdb19ad640ccb8d26fcd68bf50b24))

* fix: ensuring deterministic behavior for driftstream ([`33ba7ba`](https://github.com/adaptive-machine-learning/CapyMOA/commit/33ba7ba81a3af291dd687640f8c4dc16dabd187b))

* fix: fixing documentation for notebooks toctree ([`21fb4aa`](https://github.com/adaptive-machine-learning/CapyMOA/commit/21fb4aa2b7abaac0a9c0f50f4d7ec3ed5c248762))

* fix: adding gifs shown in notebook ([`6c08d39`](https://github.com/adaptive-machine-learning/CapyMOA/commit/6c08d3963b33baaf405fd75305f87c21e3b5d7b0))

Test

* test: stop skipping notebooks in CI/CD pipeline ([`dfcd0c6`](https://github.com/adaptive-machine-learning/CapyMOA/commit/dfcd0c614bc1e4273ad0a8355368d18640ebbcfa))

Unknown

* Pipelines V2 (200)

Co-authored-by: Heitor Murilo Gomes <heitor_murilo_gomesyahoo.com.br> ([`09a80eb`](https://github.com/adaptive-machine-learning/CapyMOA/commit/09a80ebc5d8681a42fca9d1d97365d68f97ab554))

Chore

* chore(version): increment version to 0.7.0 ([`d145644`](https://github.com/adaptive-machine-learning/CapyMOA/commit/d1456442c5c7d0be4b95029c0913aa0c8b8b8673))

Ci

* ci: fix docker versioning ([`bbfc8b5`](https://github.com/adaptive-machine-learning/CapyMOA/commit/bbfc8b5f693e920c72e67e75d69133a28eb074b7))

Documentation

* docs: update plotting to prediction interval notebook ([`f33c3d1`](https://github.com/adaptive-machine-learning/CapyMOA/commit/f33c3d13ea8b3f7c4c01df4a1692432614e8094d))

Feature

* feat: clustering base classes with simple visualization

Co-authored-by: Heitor Murilo Gomes <heitor_murilo_gomesyahoo.com.br> ([`09b3a60`](https://github.com/adaptive-machine-learning/CapyMOA/commit/09b3a60f5a8c1146efd69e654a2211b5928c30ed))

Fix

* fix: update visualization for compatibility ([`e25f6b6`](https://github.com/adaptive-machine-learning/CapyMOA/commit/e25f6b6eddee42666c54d4f39fff823d085b6409))

Chore

* chore(version): increment version to 0.6.0 ([`bed6fe0`](https://github.com/adaptive-machine-learning/CapyMOA/commit/bed6fe066f8a80a732a745b9393b8efd91f2ed1c))

Ci

* ci: fix workflow trigger of docker build ([`d8fdd55`](https://github.com/adaptive-machine-learning/CapyMOA/commit/d8fdd557e2c2a39c2bfefdf6be03c2e77d63e209))

Feature

* feat: add ``restart_stream=False`` as an option in evaluators ([`a965dc4`](https://github.com/adaptive-machine-learning/CapyMOA/commit/a965dc45c4d2edf796c76064ba2c880824c477d1))

* feat: add clustering and ssl ([`ae8b592`](https://github.com/adaptive-machine-learning/CapyMOA/commit/ae8b592ae658a7dcbf6c314e0764bb51e36afc5d))

* feat: add IJCAI 2024 tutorial ([`cac7900`](https://github.com/adaptive-machine-learning/CapyMOA/commit/cac790098f6eb62dd83e787b788a105afef1b094))

Fix

* fix: remove tutorial notebook ([`d82e05d`](https://github.com/adaptive-machine-learning/CapyMOA/commit/d82e05d2c9a5cf2b5e757636b3642cf3bbf10c00))

* fix: add overwritten changes in commit cc13390 for recurrent concept drifts ([`472a597`](https://github.com/adaptive-machine-learning/CapyMOA/commit/472a597cd4c18b7cb84884bc1acd9821a3ae24ca))