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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.