K-nearest neighbors classifiers and regressors with KD-tree for the anofox-ml library
Time series forecasting library
scikit-learn-style machine learning umbrella crate — re-exports every anofox-ml-* subcrate under a single API
Clustering algorithms (KMeans, DBSCAN, HDBSCAN, GMM, BGMM, MeanShift, OPTICS, Birch, Spectral, AffinityPropagation, Agglomerative) for anofox-ml
Core traits and types for the anofox-ml machine learning library
Linear and Quadratic Discriminant Analysis for the anofox-ml library
Random forest and gradient boosting ensemble methods for the anofox-ml library
Gaussian Process regression + classification (Laplace) for the anofox-ml library
CSV data loading with ndarray integration for the anofox-ml machine learning library
Stochastic Gradient Descent linear models (SGDClassifier, SGDRegressor, PassiveAggressive) for anofox-ml
Manifold learning (MDS, Isomap, LLE, t-SNE) for the anofox-ml library
Classification and regression metrics for the anofox-ml machine learning library