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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "fastml" in publications use:'
type: software
license: MIT
title: 'fastml: Guarded Resampling Workflows for Safe and Automated Machine Learning
  in R'
version: 0.7.8
doi: 10.32614/CRAN.package.fastml
abstract: Provides a guarded resampling workflow for training and evaluating machine-learning
  models. When the guarded resampling path is used, preprocessing and model fitting
  are re-estimated within each resampling split to reduce leakage risk. Supports multiple
  resampling schemes, integrates with established engines in the 'tidymodels' ecosystem,
  and aims to improve evaluation reliability by coordinating preprocessing, fitting,
  and evaluation within supported workflows. Offers a lightweight AutoML-style workflow
  by automating model training, resampling, and tuning across multiple algorithms,
  while keeping evaluation design explicit and user-controlled.
authors:
- family-names: Korkmaz
  given-names: Selcuk
  email: selcukorkmaz@gmail.com
  orcid: https://orcid.org/0000-0003-4632-6850
- family-names: Goksuluk
  given-names: Dincer
  email: dincer.goksuluk@gmail.com
  orcid: https://orcid.org/0000-0002-2752-7668
- family-names: Karaismailoglu
  given-names: Eda
  email: eda.karaismailoglu@sbu.edu.tr
  orcid: https://orcid.org/0000-0003-3085-7809
repository: https://selcukorkmaz.r-universe.dev
repository-code: https://github.com/selcukorkmaz/fastml
commit: 13564c7a25082105f0f42e5cf0bcff7326c4729a
url: https://selcukorkmaz.github.io/fastml-tutorial/
date-released: '2026-03-17'
contact:
- family-names: Korkmaz
  given-names: Selcuk
  email: selcukorkmaz@gmail.com
  orcid: https://orcid.org/0000-0003-4632-6850