# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "ml" in publications use:'
type: software
license: MIT
title: 'ml: Supervised Learning with Mandatory Splits and Seeds'
version: 1.0.0
doi: 10.5281/zenodo.18905073
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ml
abstract: 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'.
authors:
- family-names: Roth
  given-names: Simon
  email: simon@epagogy.ai
preferred-citation:
  type: generic
  title: A Grammar of Machine Learning Workflows
  authors:
  - family-names: Roth
    given-names: Simon
    email: simon@epagogy.ai
  year: '2026'
  doi: 10.5281/zenodo.18905073
  url: https://doi.org/10.5281/zenodo.18905073
  notes: R package version 0.1.1
repository: https://epagogy.r-universe.dev
repository-code: https://github.com/epagogy/ml
commit: 733303866ecba86ab83fdbd7ef3e7b8d2a24bf1f
url: https://epagogy.ai
date-released: '2026-04-03'
contact:
- family-names: Roth
  given-names: Simon
  email: simon@epagogy.ai