smartcorelib / smartcore

What it does

• Broad algorithm coverage. linear models, tree-based methods, ensembles, SVMs, neighbors, clustering, decomposition, and preprocessing.
• Strong linear algebra traits with optional ndarray integration for users who prefer array-first workflows.
• WASM-first defaults with attention to portability; features such as serde and datasets are opt-in.
• Practical utilities for model selection, evaluation, readers (CSV), dataset generators, and built-in sample datasets.