fastml: Fast Machine Learning Model Training and Evaluation

Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.

Version:	0.6.1
Depends:	R (≥ 3.5.0)
Imports:	recipes, dplyr, ggplot2, reshape2, rsample, parsnip, tune, workflows, yardstick, tibble, rlang, dials, RColorBrewer, baguette, bonsai, discrim, doFuture, finetune, future, plsmod, probably, viridisLite, DALEX, magrittr, patchwork, pROC, janitor, stringr, DT, GGally, UpSetR, VIM, broom, dbscan, ggpubr, gridExtra, htmlwidgets, kableExtra, moments, naniar, plotly, scales, skimr, tidyr, knitr, rmarkdown, purrr, mice, missForest
Suggests:	testthat (≥ 3.0.0), C50, glmnet, xgboost, ranger, crayon, kernlab, klaR, kknn, keras, lightgbm, rstanarm, mixOmics
Published:	2025-06-10
DOI:	10.32614/CRAN.package.fastml
Author:	Selcuk Korkmaz [aut, cre], Dincer Goksuluk [aut], Eda Karaismailoglu [aut]
Maintainer:	Selcuk Korkmaz <selcukorkmaz at gmail.com>
BugReports:	https://github.com/selcukorkmaz/fastml/issues
License:	MIT + file LICENSE
URL:	https://github.com/selcukorkmaz/fastml
NeedsCompilation:	no
Materials:	README
CRAN checks:	fastml results

Documentation:

Reference manual:

fastml.pdf

Downloads:

Package source:	fastml_0.6.1.tar.gz
Windows binaries:	r-devel: fastml_0.6.1.zip, r-release: fastml_0.6.1.zip, r-oldrel: fastml_0.6.1.zip
macOS binaries:	r-release (arm64): fastml_0.6.1.tgz, r-oldrel (arm64): fastml_0.6.1.tgz, r-release (x86_64): fastml_0.6.1.tgz, r-oldrel (x86_64): fastml_0.6.1.tgz
Old sources:	fastml archive

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