https://systats.r-universe.devRecent package updates in systatsR-universehttps://github.com/systats.pnghttps://systats.r-universe.devFri, 03 Apr 2026 17:52:15 GMTsimon@epagogy.ai (Simon Roth)Implements the split-fit-evaluate-assess workflow from Hastie, Tibshirani, and Friedman (2009, ISBN:978-0-387-84857-0) "The Elements of Statistical Learning", Chapter 7. Provides three-way data splitting with automatic stratification, mandatory seeds for reproducibility, automatic data type handling, and 10 algorithms out of the box. Uses 'Rust' backend for cross-language deterministic splitting. Designed for tabular supervised learning with minimal ceremony. Polyglot parity with the 'Python' 'mlw' package on 'PyPI'.https://github.com/r-universe/epagogy/actions/runs/36686311362Fri, 03 Apr 2026 17:52:15 GMTml1.0.0successhttps://epagogy.r-universe.devhttps://github.com/epagogy/mlquickstart.Rmdquickstart.htmlGetting Started with ml2026-03-14 00:38:482026-03-14 00:38:48