Sequentia

Major changes

- Add multi-processing support for `DTWKNN` predictions. ([29](https://github.com/eonu/sequentia/pull/29))
- Rename the `fit_transform()` function in `Preprocess` to `transform()` since there is nothing being fitted. ([35](https://github.com/eonu/sequentia/pull/35))
- Modify package classifiers in `setup.py` ([31](https://github.com/eonu/sequentia/pull/31)):
- Set development status classifier to `Pre-Alpha`.
- Add Python version classifiers for v3.5+.
- Specify UNIX and macOS operating system classifiers.

Minor changes

- Finish tutorial and example notebooks. ([35](https://github.com/eonu/sequentia/pull/35))
- Rename `examples` directory to `notebooks`. ([32](https://github.com/eonu/sequentia/pull/32))
- Host notebooks statically on [nbviewer](https://github.com/jupyter/nbviewer). ([#32](https://github.com/eonu/sequentia/pull/32))
- Add reference to Pomegranate [paper](http://jmlr.org/papers/volume18/17-636/17-636.pdf) and [repository](https://github.com/jmschrei/pomegranate). ([#30](https://github.com/eonu/sequentia/pull/30))
- Add badges to `README.md`. ([28](https://github.com/eonu/sequentia/pull/28))

Major changes

Nothing, initial release!

</details>

[v2.6.0](https://github.com/eonu/sequentia/releases/tag/v2.6.0) - 2024-12-30

Bug Fixes

- enable `joblib.Parallel` memory mapping ([262](https://github.com/eonu/sequentia/issues/262))

Documentation

- update copyright notice ([255](https://github.com/eonu/sequentia/issues/255))
- fix `KNNRegressor.window` docstring typo ([261](https://github.com/eonu/sequentia/issues/261))
- update `README.md` features ([265](https://github.com/eonu/sequentia/issues/265))

Features

- add `mise.toml` and support `numpy>=2` ([254](https://github.com/eonu/sequentia/issues/254))
- add python v3.13 support ([253](https://github.com/eonu/sequentia/issues/253))
- add library benchmarks ([256](https://github.com/eonu/sequentia/issues/256))
- add `model_selection` sub-package for hyper-parameters ([257](https://github.com/eonu/sequentia/issues/257))
- add model spec support to `HMMClassifier.__init__` ([258](https://github.com/eonu/sequentia/issues/258))
- add `HMMClassifier.fit` multiprocessing ([259](https://github.com/eonu/sequentia/issues/259))
- set `use_c=True` by default for `KNNClassifier`/`KNNRegressor` ([263](https://github.com/eonu/sequentia/issues/263))

Styling

- upgrade to `ruff` v0.8.4 and fix type hints ([264](https://github.com/eonu/sequentia/issues/264))

[v2.0.2](https://github.com/eonu/sequentia/releases/tag/v2.0.2) - 2024-04-13

Bug Fixes

- call `KNNMixin._dtw1d` when `independent=True` ([251](https://github.com/eonu/sequentia/issues/251))

[v2.0.1](https://github.com/eonu/sequentia/releases/tag/v2.0.1) - 2024-04-02

Bug Fixes

- use log probs for `KNNClassifier.predict_log_proba` ([247](https://github.com/eonu/sequentia/issues/247))

[v2.0.0](https://github.com/eonu/sequentia/releases/tag/v2.0.0) - 2024-04-01

Refactor

- full `scikit-learn` compatibility + general refactor ([241](https://github.com/eonu/sequentia/issues/241))

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