v2.6.0

What's Changed

• docs: fix KNNRegressor.window docstring typo by @eonu in #261
• fix: enable joblib.Parallel memory mapping by @eonu in #262
• feat: set use_c=True by default for KNNClassifier/KNNRegressor by @eonu in #263
• style: upgrade to ruff v0.8.4 and fix type hints by @eonu in #264
• docs: update README.md features by @eonu in #265

Full Changelog: v2.5.0...v2.6.0

v2.5.0

What's Changed

Documentation

• update copyright notice (#255)

Features

• add mise.toml and support numpy>=2 (#254)
• add python v3.13 support (#253)
• add library benchmarks (#256)
• add model_selection sub-package for hyper-parameters (#257)
• add model spec support to HMMClassifier.__init__ (#258)
• add HMMClassifier.fit multiprocessing (#259)

Full Changelog: v2.0.1...v2.5.0

v2.0.2

What's Changed

• release: v2.0.1 by @github-actions in #248
• fix: call KNNMixin._dtw1d when independent=True by @eonu in #251

Full Changelog: v2.0.1...v2.0.2

v2.0.1

What's Changed

• release: v2.0.0 by @github-actions in #244
• fix: use log probs for KNNClassifier.predict_log_proba by @eonu in #247

Full Changelog: v2.0.0...v2.0.1

v2.0.0

What's Changed

• release 1.1.1 by @eonu in #240
• refactor: full scikit-learn compatibility + general refactor by @eonu in #241
• docs: fix README.md logo URL by @eonu in #243

Full Changelog: v1.1.1...v2.0.0

v1.1.1

Major changes

• Remove scikit-learn validation constraints from IndependentFunctionTransformer. (#237)

Minor changes

• Change default mean_filter/median_filter width to 5. (#238)
• Update repository documentation. (#239)

v1.1.0

Major changes

• Set max_nbytes=None to fix read-only buffer source array error in joblib.Parallel (see scikit-learn/scikit-learn#7981). (#235)
• Added sequentia.preprocessing module with sklearn.preprocessing compatibility. (#234)
• Added sequentia.pipeline module for sklearn.pipeline compatibility. (#234)

Minor changes

• Upgrade sklearn version specifier from >=0.22 to >=1.0. (#234)
• Upgrade development status classifier to stable. (#233)

v1.0.0

Major changes

• Fix CategoricalHMM and GaussianMixtureHMM parameter defaults for params/init_params being modified. (#231)
• Fix CategoricalHMM and GaussianMixtureHMM unfreeze() calling super().freeze() instead of super().unfreeze(). (#231)
• Fix serialization/deserialization for _KNNMixin when weighting=None. (#231)
• Add unit tests. (#231)

Minor changes

• Change load_digits numbers parameter name to digits. (#231)
• Change SequentialDataset properties to not return copies of arrays. (#231)
• Remove SequentialDataset.__eq__. (#231)
• Change HMMClassifier prior default to None. (#231)

v1.0.0a2

Minor changes

• Fix broken link on README.md. (#229)

v1.0.0a1

Major changes

• Rework interface to follow sklearn-like patterns. (#226)
• Remove preprocessing module (temporarily until design is finalized). (#226)
• Add KNN regression. (#226)
• Add HMM classifier with categorical emissions. (#226)
• Use Pydantic for better validation. (#226)
• Add datasets module for sample datasets. (#226)
• Split KNN logic across more functions. (#226)
• Better multi-processing for KNN. (#226)
• Documentation rework + switch Sphinx documentation theme. (#226)
• Fix Sakoe-Chiba width calculation. (#226)