diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..22e9b22 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,397 @@ +# Changelog + +All notable changes to this project will be documented in this file. + +--- + +
+ + Click to see pre-2.0 changelog entries + + +## [1.1.1](https://github.com/eonu/sequentia/releases/tag/v1.1.1) + +#### Major changes + +- Remove `scikit-learn` validation constraints from `IndependentFunctionTransformer`. ([#237](https://github.com/eonu/sequentia/pull/237)) + +#### Minor changes + +- Change default `mean_filter`/`median_filter` width to 5. ([#238](https://github.com/eonu/sequentia/pull/238)) +- Update repository documentation. ([#239](https://github.com/eonu/sequentia/pull/239)) + + +## [1.1.0](https://github.com/eonu/sequentia/releases/tag/v1.1.0) + +#### Major changes + +- Set `max_nbytes=None` to fix read-only buffer source array error in `joblib.Parallel` (see https://github.com/scikit-learn/scikit-learn/issues/7981). ([#235](https://github.com/eonu/sequentia/pull/235)) +- Added `sequentia.preprocessing` module with [`sklearn.preprocessing`](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.preprocessing) compatibility. ([#234](https://github.com/eonu/sequentia/pull/234)) +- Added `sequentia.pipeline` module for [`sklearn.pipeline`](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.pipeline) compatibility. ([#234](https://github.com/eonu/sequentia/pull/234)) + +#### Minor changes + +- Upgrade `sklearn` version specifier from `>=0.22` to `>=1.0`. ([#234](https://github.com/eonu/sequentia/pull/234)) +- Upgrade development status classifier to stable. ([#233](https://github.com/eonu/sequentia/pull/233)) + + +## [1.0.0](https://github.com/eonu/sequentia/releases/tag/v1.0.0) + +#### Major changes + +- Fix `CategoricalHMM` and `GaussianMixtureHMM` parameter defaults for `params`/`init_params` being modified. ([#231](https://github.com/eonu/sequentia/issues/231)) +- Fix `CategoricalHMM` and `GaussianMixtureHMM` `unfreeze()` calling `super().freeze()` instead of `super().unfreeze()`. ([#231](https://github.com/eonu/sequentia/issues/231)) +- Fix serialization/deserialization for `_KNNMixin` when `weighting=None`. ([#231](https://github.com/eonu/sequentia/issues/231)) +- Add unit tests. ([#231](https://github.com/eonu/sequentia/issues/231)) + +#### Minor changes + +- Change `load_digits` `numbers` parameter name to `digits`. ([#231](https://github.com/eonu/sequentia/issues/231)) +- Change `SequentialDataset` properties to not return copies of arrays. ([#231](https://github.com/eonu/sequentia/issues/231)) +- Remove `SequentialDataset.__eq__`. ([#231](https://github.com/eonu/sequentia/issues/231)) +- Change `HMMClassifier` `prior` default to `None`. ([#231](https://github.com/eonu/sequentia/issues/231)) + + +## [1.0.0a2](https://github.com/eonu/sequentia/releases/tag/v1.0.0a2) + +#### Minor changes + +- Fix broken link on README.md. ([#229](https://github.com/eonu/sequentia/issues/229)) + + +## [1.0.0a1](https://github.com/eonu/sequentia/releases/tag/v1.0.0a1) + +#### Major changes + +- Rework interface to follow sklearn-like patterns. ([#226](https://github.com/eonu/sequentia/issues/226)) +- Remove `preprocessing` module (temporarily until design is finalized). ([#226](https://github.com/eonu/sequentia/issues/226)) +- Add KNN regression. ([#226](https://github.com/eonu/sequentia/issues/226)) +- Add HMM classifier with categorical emissions. ([#226](https://github.com/eonu/sequentia/issues/226)) +- Use Pydantic for better validation. ([#226](https://github.com/eonu/sequentia/issues/226)) +- Add `datasets` module for sample datasets. ([#226](https://github.com/eonu/sequentia/issues/226)) +- Split KNN logic across more functions. ([#226](https://github.com/eonu/sequentia/issues/226)) +- Better multi-processing for KNN. ([#226](https://github.com/eonu/sequentia/issues/226)) +- Documentation rework + switch Sphinx documentation theme. ([#226](https://github.com/eonu/sequentia/issues/226)) +- Fix Sakoe-Chiba width calculation. ([#226](https://github.com/eonu/sequentia/issues/226)) + + +## [0.13.1](https://github.com/eonu/sequentia/releases/tag/v0.13.1) + +#### Major changes + +- Add `digits.npz` as package data in `setup.py`. ([#221](https://github.com/eonu/sequentia/issues/221)) + + +## [0.13.0](https://github.com/eonu/sequentia/releases/tag/v0.13.0) + +#### Major changes + +- Switch from TravisCI to CircleCI. ([#218](https://github.com/eonu/sequentia/issues/218)) +- Add `datasets.load_random_sequences` for generating an arbitrarily sized dataset of sequences. ([#216](https://github.com/eonu/sequentia/issues/216)) +- Remove `DeepGRU` and `classifier.rnn` module. ([#215](https://github.com/eonu/sequentia/issues/215)) +- Add `sequentia.datasets` module. ([#214](https://github.com/eonu/sequentia/issues/214)) +- Added `return_scores` argument to `KNNClassifier.predict()` to return class scores. ([#213](https://github.com/eonu/sequentia/issues/213)) +- Return `self` in `fit()` functions. ([#213](https://github.com/eonu/sequentia/issues/213)) +- Update to `hmmlearn` v0.2.7. ([#201](https://github.com/eonu/sequentia/issues/201)) +- Update `HMMClassifier` structure to match `KNNClassifier`. ([#200](https://github.com/eonu/sequentia/issues/200)) +- Remove `'uniform'` `KNNClassifier` weighting option. ([#192](https://github.com/eonu/sequentia/issues/192)) +- Fix major `KNNClassifier` label scoring bug - thanks @manisci. ([#187](https://github.com/eonu/sequentia/issues/187)) + +#### Minor changes + +- Update `CONTRIBUTING.md` CI instructions. ([#219](https://github.com/eonu/sequentia/issues/219)) +- Update HMM tests to use `datasets` module. ([#217](https://github.com/eonu/sequentia/issues/217)) +- Add `tslearn` as a core dependency. ([#216](https://github.com/eonu/sequentia/issues/216)) +- Remove `torchaudio`, `torchvision` and `torchfsdd` dependencies. ([#214](https://github.com/eonu/sequentia/issues/214)) +- Add playable audio to notebooks via `play_audio` helper. ([#214](https://github.com/eonu/sequentia/issues/214)) +- Update `README.md` and documentation. ([#202](https://github.com/eonu/sequentia/issues/202)) +- Add `Jinja2` dependency for RTD. ([#188](https://github.com/eonu/sequentia/issues/188)) + + +## [0.12.1](https://github.com/eonu/sequentia/releases/tag/v0.12.1) + +> - `KNNClassifier` has a major bug in all versions prior to and including v0.12.1 resulting in inaccurate predictions (see [#186](https://github.com/eonu/sequentia/issues/186)). +> - `GMMHMM` and `HMMClassifier` have a major bug in all versions prior to and including v0.12.1 as a result of two bugs in the `GMMHMM` class in `hmmlearn` versions before v0.2.7 (see [#193](https://github.com/eonu/sequentia/issues/193)). +> +> ⚠️ **Please use version v0.13.0 or later.** + +#### Major changes + +- Remove `requirements.py` due to import error. ([#182](https://github.com/eonu/sequentia/pull/182)) + + +## [0.12.0](https://github.com/eonu/sequentia/releases/tag/v0.12.0) + +#### Major changes + +- Rework preprocessing module (see [#177](https://github.com/eonu/sequentia/pull/177)). ([#179](https://github.com/eonu/sequentia/pull/179)) + - Add `Custom` transformation. + - Rename `Preprocess` to `Compose`. + - Don't validate observation sequences after each transformation in `Compose`. + - Remove progress bars and `verbose` parameter. + - Stop unnecessarily copying each observation sequence before transformations. + - Change `transform()` function on `Transform` objects to accept a single observation sequence. + - Remove `_apply()` function on `Transform` objects. + - Make `_is_fitted()` public on `Transform` objects (change to `is_fitted()`). + - Use `__str__` instead of `_describe()` for transformation descriptions. +- Remove need to send `DeepGRU` to device explicitly, so we can now do `DeepGRU(..., device=device)` instead of `DeepGRU(..., device=device).to(device)`. ([#178](https://github.com/eonu/sequentia/pull/178)) +- Add `dev`, `test`, `docs` and `notebooks` extras. ([#174](https://github.com/eonu/sequentia/pull/174)) +- Remove `Equalize` transform as it goes against the point of variable-length sequence classification. ([#172](https://github.com/eonu/sequentia/pull/172)) +- Change `TrimZeros` transform to `TrimConstants`, allowing any constant-valued observation to be trimmed. ([#172](https://github.com/eonu/sequentia/pull/172)) +- Add DeepGRU classifier implementation. ([#169](https://github.com/eonu/sequentia/pull/169)) +- Add `sequentia[torch]` extra for optional `torch` CPU installation. ([#169](https://github.com/eonu/sequentia/pull/169)) + +#### Minor changes + +- Keep batch lengths on CPU ([pytorch/pytorch#43227](https://github.com/pytorch/pytorch/issues/43227)). ([#178](https://github.com/eonu/sequentia/pull/178)) +- Remove `docs/requirements.txt` and specify `docs` extra in `.readthedocs.yml`. ([#176](https://github.com/eonu/sequentia/pull/176)) +- Move Sphinx extensions from `docs/conf.py` to `requirements.py`. ([#176](https://github.com/eonu/sequentia/pull/176)) +- Bump development status classifier to beta. ([#175](https://github.com/eonu/sequentia/pull/175)) +- Move package dependency specifications to `requirements.py`. ([#174](https://github.com/eonu/sequentia/pull/174)) +- Add `docs/README.md`, `notebooks/README.md` and `lib/test/README.md`. ([#174](https://github.com/eonu/sequentia/pull/174)) +- Update HMM classifier diagram. ([#173](https://github.com/eonu/sequentia/pull/173)) +- Add build status to `README.md`. ([#171](https://github.com/eonu/sequentia/pull/171)) +- Fix patch description in `CONTRIBUTING.md`. ([#170](https://github.com/eonu/sequentia/pull/170)) +- Fix wording in `README.md`. ([#167](https://github.com/eonu/sequentia/pull/167), [#168](https://github.com/eonu/sequentia/pull/168)) + + +## [0.11.1](https://github.com/eonu/sequentia/releases/tag/v0.11.1) + +#### Major changes + +- Fix validation for univariate sequences. ([#164](https://github.com/eonu/sequentia/pull/164)) + +#### Minor changes + +- Clean up `README.md` and add examples. ([#165](https://github.com/eonu/sequentia/pull/165)) +- Clean up validation logical expressions. ([#164](https://github.com/eonu/sequentia/pull/164)) + + +## [0.11.0](https://github.com/eonu/sequentia/releases/tag/v0.11.0) + +#### Major changes + +- Add trailing underscore to variables containing trainable parameters (see #154). ([#158](https://github.com/eonu/sequentia/pull/158)) +- Add properties for GMM emission distribution parameters (see #153). ([#156](https://github.com/eonu/sequentia/pull/156)) +- Add selective `GMMHMM` parameter freezing/unfreezing (see #150). ([#155](https://github.com/eonu/sequentia/pull/155)) +- Fix random transition matrix initialization for `_LeftRightTopology` (see #149). ([#151](https://github.com/eonu/sequentia/pull/151)) + +#### Minor changes + +- Add access to Baum-Welch algorithm convergence monitor (see #139). ([#162](https://github.com/eonu/sequentia/pull/162)) +- Prefix `_Validator` functions with `is_` (see #159). ([#161](https://github.com/eonu/sequentia/pull/161)) +- Add validation for checking fitted parameters (see #157). ([#160](https://github.com/eonu/sequentia/pull/160)) +- Clean up `__repr__` for `GMMHMM`, `HMMClassifier` and `KNNClassifier`. ([#160](https://github.com/eonu/sequentia/pull/160)) +- Add classifier documentation links to `README.md`. ([#152](https://github.com/eonu/sequentia/pull/152)) +- Simplify random transition matrix initialization for `_LinearTopology` and `_LeftRightTopology`. ([#151](https://github.com/eonu/sequentia/pull/151)) + + +## [0.10.3](https://github.com/eonu/sequentia/releases/tag/v0.10.3) + +#### Major changes + +- Fix `setup.py` encoding problem. ([#145](https://github.com/eonu/sequentia/pull/145)) +- Add `docs/robots.txt` and `sphinx-version-warning` package to prevent search engines from indexing old package versions (see #143). ([#147](https://github.com/eonu/sequentia/pull/147)) + +#### Minor changes + +- Add @Prhmma as a contributor for #145. ([#146](https://github.com/eonu/sequentia/pull/146)) + + +## [0.10.2](https://github.com/eonu/sequentia/releases/tag/v0.10.2) + +#### Major changes + +- Add support for dependent feature warping (addresses [#124](https://github.com/eonu/sequentia/pull/124)). ([#135](https://github.com/eonu/sequentia/pull/135)) +- Add multi-processed predictions for `HMMClassifier` (addresses [#121](https://github.com/eonu/sequentia/pull/121)). ([#136](https://github.com/eonu/sequentia/pull/136)) +- Re-order `predict()` and `evaluate()` arguments. ([#138](https://github.com/eonu/sequentia/pull/138)) + +#### Minor changes + +- Add `original_labels` documentation to `KNNClassifier`. ([#133](https://github.com/eonu/sequentia/pull/133)) +- Simplify `GMMHMM` documentation. ([#134](https://github.com/eonu/sequentia/pull/134)) +- Fix posterior comment in `classifier.svg`. ([#137](https://github.com/eonu/sequentia/pull/137)) + + +## [0.10.1](https://github.com/eonu/sequentia/releases/tag/v0.10.1) + +#### Minor changes + +- Remove references to `sigment`. ([#130](https://github.com/eonu/sequentia/pull/130)) +- Fix type specifiers in documentation (see [#129](https://github.com/eonu/sequentia/issues/129)). ([#131](https://github.com/eonu/sequentia/pull/131)) + + +## [0.10.0](https://github.com/eonu/sequentia/releases/tag/v0.10.0) + +#### Major changes + +- Switch out [`pomegranate`](https://github.com/jmschrei/pomegranate) HMM backend to [`hmmlearn`](https://github.com/hmmlearn/hmmlearn). ([#105](https://github.com/eonu/sequentia/pull/105)) +- Remove separate HMM and GMM-HMM implementations – only keep a single GMM-HMM implementation (in the `GMMHMM` class) and treat multivariate Gaussian emission HMM as a special case of GMM-HMM. ([#105](https://github.com/eonu/sequentia/pull/105)) +- Support string and numeric labels by using label encodings (from [`sklearn.preprocessing.LabelEncoder`](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html)). ([#105](https://github.com/eonu/sequentia/pull/105)) +- Add support for Python v3.6, v3.7, v3.8, v3.9 and remove support for v3.5. ([#105](https://github.com/eonu/sequentia/pull/105)) +- Switch from approximate DTW algorithm ([`fastdtw`](https://github.com/slaypni/fastdtw)) to exact implementation ([`dtaidistance`](https://github.com/wannesm/dtaidistance)) for `KNNClassifier`. ([#106](https://github.com/eonu/sequentia/pull/106)) + +#### Minor changes + +- Switch to use duck-typing for iterables instead of requiring lists. ([#105](https://github.com/eonu/sequentia/pull/105)) +- Rename 'strict left-right' HMM topology to 'linear'. ([#105](https://github.com/eonu/sequentia/pull/105)) +- Switch `m2r` to `m2r2`, as `m2r` is no longer maintained. ([#105](https://github.com/eonu/sequentia/pull/105)) +- Change `covariance` to `covariance_type`, to match `hmmlearn`. ([#105](https://github.com/eonu/sequentia/pull/105)) +- Use `numpy.random.RandomState(seed=None)` as default instead of `numpy.random.RandomState(seed=0)`. ([#105](https://github.com/eonu/sequentia/pull/105)) +- Switch `KNNClassifier` serialization from HDF5 to pickling. ([#106](https://github.com/eonu/sequentia/pull/106)) +- Use [`intersphinx`](https://www.sphinx-doc.org/en/master/usage/extensions/intersphinx.html) for external documentation links, e.g. to `numpy`. ([#108](https://github.com/eonu/sequentia/pull/108)) +- Change `MinMaxScale` bounds to floats. ([#112](https://github.com/eonu/sequentia/pull/112)) +- Add `__repr__` function to `GMMHMM`, `HMMClassifier` and `KNNClassifier`. ([#120](https://github.com/eonu/sequentia/pull/120)) +- Use feature-independent warping (DTWI). ([#121](https://github.com/eonu/sequentia/pull/121)) +- Ensure minimum Sakoe-Chiba band width is 1. ([#126](https://github.com/eonu/sequentia/pull/126)) + + +## [0.7.2](https://github.com/eonu/sequentia/releases/tag/v0.7.2) + +#### Major changes + +- Stop referring to sequences as temporal, as non-temporal sequences can also be used. ([#103](https://github.com/eonu/sequentia/pull/103)) + + +## [0.7.1](https://github.com/eonu/sequentia/releases/tag/v0.7.1) + +#### Major changes + +- Fix deserialization for `KNNClassifier`. ([#93](https://github.com/eonu/sequentia/pull/93)) + - Sort HDF5 keys before loading as `numpy.ndarray`s. + - Pass `weighting` function into deserialization constructor. + + +## [0.7.0](https://github.com/eonu/sequentia/releases/tag/v0.7.0) + +#### Major changes + +- Fix `pomegranate` version to v0.12.0. ([#79](https://github.com/eonu/sequentia/pull/79)) +- Add serialization and deserialization support for all classifiers. ([#80](https://github.com/eonu/sequentia/pull/80)) + - `HMM`, `HMMClassifier`: Serialized in JSON format. + - `KNNClassifier`: Serialized in [HDF5](https://support.hdfgroup.org/HDF5/doc/H5.intro.html) format. +- Finish preprocessing documentation and tests. ([#81](https://github.com/eonu/sequentia/pull/81)) +- (_Internal_) Remove nested helper functions in `KNNClassifier.predict()`. ([#84](https://github.com/eonu/sequentia/pull/84)) +- Add strict left-right HMM topology. ([#85](https://github.com/eonu/sequentia/pull/85))
**Note**: This is the more traditional left-right HMM topology. +- Implement GMM-HMMs in the `GMMHMM` class. ([#87](https://github.com/eonu/sequentia/pull/87)) +- Implement custom, uniform and frequency-based HMM priors. ([#88](https://github.com/eonu/sequentia/pull/88)) +- Implement distance-weighted DTW-kNN predictions. ([#90](https://github.com/eonu/sequentia/pull/90)) +- Rename `DTWKNN` to `KNNClassifer`. ([#91](https://github.com/eonu/sequentia/pull/91)) + +#### Minor changes + +- (_Internal_) Simplify package imports. ([#82](https://github.com/eonu/sequentia/pull/82)) +- (_Internal_) Add `Validator.func()` for validating callables. ([#90](https://github.com/eonu/sequentia/pull/90)) + + +## [v0.7.0a1](https://github.com/eonu/sequentia/releases/tag/v0.7.0a1) + +#### Major changes + +- Clean up package imports. ([#77](https://github.com/eonu/sequentia/pull/77)) +- Rework `preprocessing` module. ([#75](https://github.com/eonu/sequentia/pull/75)) + +#### Minor changes + +- Fix typos and update preprocessing information in `README.md`. ([#76](https://github.com/eonu/sequentia/pull/76)) + + +## [0.6.1](https://github.com/eonu/sequentia/releases/tag/v0.6.1) + +#### Major changes + +- Remove strict requirement of Numpy arrays being two-dimensional by using `numpy.atleast_2d` to convert one-dimensional arrays into 2D. ([#70](https://github.com/eonu/sequentia/pull/70)) + +#### Minor changes + +- As the HMM classifier is not a true ensemble of HMMs (since each HMM doesn't really contribute to the classification), it is no longer referred to as an ensemble. ([#69](https://github.com/eonu/sequentia/pull/69)) + + +## [0.6.0](https://github.com/eonu/sequentia/releases/tag/v0.6.0) + +#### Major changes + +- Add package tests and Travis CI support. ([#56](https://github.com/eonu/sequentia/pull/56)) +- Remove Python v3.8+ support. ([#56](https://github.com/eonu/sequentia/pull/56)) +- Rename `normalize` preprocessing method to `center`, since it just centers an observation sequence. ([#62](https://github.com/eonu/sequentia/pull/62)) +- Add `standardize` preprocessing method for standardizing (standard scaling) an observation sequence. ([#63](https://github.com/eonu/sequentia/pull/63)) +- Add `trim_zeros` preprocessing method for removing zero-observations from an observation sequence. ([#67](https://github.com/eonu/sequentia/pull/67)) + +#### Minor changes + +- Add `Validator.random_state` for validating random state objects and seeds. ([#56](https://github.com/eonu/sequentia/pull/56)) +- Internalize `Validator` and topology (`Topology`, `ErgodicTopology`, `LeftRightTopology`) classes. ([#57](https://github.com/eonu/sequentia/pull/57)) +- Use proper documentation format for topology classes. ([#58](https://github.com/eonu/sequentia/pull/58)) + + +## [0.5.0](https://github.com/eonu/sequentia/releases/tag/v0.5.0) + +#### Major changes + +- Add `Preprocess.summary()` to display an ordered summary of preprocessing transformations. ([#54](https://github.com/eonu/sequentia/pull/54)) +- Add mean and median filtering preprocessing methods. ([#48](https://github.com/eonu/sequentia/pull/48)) +- Use median filtering and decimation downsampling by default. ([#52](https://github.com/eonu/sequentia/pull/52)) +- Modify preprocessing boundary conditions ([#51](https://github.com/eonu/sequentia/pull/51)): + - Use a bi-directional window for filtering to resolve boundary problems. + - Modify downsampling method to downsample residual observations. + +#### Minor changes + +- Add supported topologies (left-right and ergodic) to feature list. ([#53](https://github.com/eonu/sequentia/pull/53)) +- Add restrictions on preprocessing parameters: downsample factor and window size. ([#50](https://github.com/eonu/sequentia/pull/50)) +- Allow `Preprocess` class to be used to apply preprocessing transformations to a single observation sequence. ([#49](https://github.com/eonu/sequentia/pull/49)) + + +## [0.4.0](https://github.com/eonu/sequentia/releases/tag/v0.4.0) + +#### Major changes + +- Re-add `euclidean` metric as `DTWKNN` default. ([#43](https://github.com/eonu/sequentia/pull/43)) + +#### Minor changes + +- Add explicit labels to `evaluate()` in `HMMClassifier` example. ([#44](https://github.com/eonu/sequentia/pull/44)) + + +## [0.3.0](https://github.com/eonu/sequentia/releases/tag/v0.3.0) + +#### Major changes + +- Add proper documentation, hosted on [Read The Docs](https://sequentia.readthedocs.io/en/latest). ([#40](https://github.com/eonu/sequentia/pull/40), [#41](https://github.com/eonu/sequentia/pull/41)) + + +## [0.2.0](https://github.com/eonu/sequentia/releases/tag/v0.2.0) + +#### 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)) + + +## [0.1.0](https://github.com/eonu/sequentia/releases/tag/v0.1.0) + +#### Major changes + +Nothing, initial release! + +
+ +## [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)) + + diff --git a/README.md b/README.md index f90a15c..9721eec 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@

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diff --git a/docs/source/conf.py b/docs/source/conf.py index 00895b3..0df901f 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -23,7 +23,7 @@ project = "sequentia" copyright = "2019-2025, Sequentia Developers" # noqa: A001 author = "Edwin Onuonga (eonu)" -release = "2.0.0a1" +release = "2.0.0" # -- General configuration --------------------------------------------------- diff --git a/docs/source/index.rst b/docs/source/index.rst index 787fc11..961fcaf 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -6,7 +6,7 @@ .. raw:: html

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+
Sequentia

diff --git a/pyproject.toml b/pyproject.toml index ed66259..5a9194f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "sequentia" -version = "2.0.0a1" +version = "2.0.0" license = "MIT" authors = ["Edwin Onuonga "] maintainers = ["Edwin Onuonga "] diff --git a/sequentia/version.py b/sequentia/version.py index 2537040..4f5cae2 100644 --- a/sequentia/version.py +++ b/sequentia/version.py @@ -33,7 +33,7 @@ __all__ = ["VERSION", "version_info"] -VERSION = "2.0.0a1" +VERSION = "2.0.0" def version_info() -> str: