v0.2.1

What's Changed

• Feat/kernel svm by @ethqnol in #30

Full Changelog: v0.2.0...v0.2.1

v0.2.0

What's Changed

• Support Vector Machines (SVM): Added LinearSVC (L1/squared hinge loss classification via Dual Coordinate Descent) and LinearSVR (epsilon-insensitive loss regression with active-set shrinking).
• Spatial Clustering: Added DBSCAN with KDTree radius queries, core sample indexing, and non-parametric noise rejection.
• Naive Bayes Classifiers: Added BernoulliNB (multivariate binary features) and ComplementNB (imbalanced text classification).
• Benchmarks & Parity: Comprehensive benchmark suite against Scikit-Learn (1.1x–3.0x speedups with exact mathematical parity).
• CI & Tooling: Modernized GitHub Actions workflow with parallel test execution.

v0.1.2

What's Changed

• Naive Bayes Classifiers: Added GaussianNB (continuous features with adaptive variance smoothing) and MultinomialNB (discrete count modeling with dense and sparse CSRMatrix support).
• Performance & Benchmarking: Algorithm optimizations across linear models, trees, clustering, and preprocessing; expanded multi-scale benchmark suite.
• Linker & Ergonomics: Improved LAPACK & BLAS linking configurations and task shortcuts.
• Documentation: Updated documentation site, API references, quickstart tutorials, and branding.