clml

Provides a wide array of statistical ML algorithms including SVM, decision trees, clustering, and time series analysis, as listed in the README's key features.

Code is organized into independent systems based on functional categories, facilitating maintenance and extensibility, as emphasized in the philosophy section.

Supports SBCL, CCL, LispWorks, and Allegro Common Lisp, ensuring compatibility across different Lisp implementations, noted in the requirements.

Offers online user and API documentation, tutorials, and sample datasets via fetch functions, with active community contributions encouraged.