tidyAML: Automatic Machine Learning with 'tidymodels'

The goal of this package will be to provide a simple interface for automatic machine learning that fits the 'tidymodels' framework. The intention is to work for regression and classification problems with a simple verb framework.

Version: 0.0.5
Depends: parsnip, R (≥ 4.1.0)
Imports: rlang (≥ 0.4.11), purrr (≥ 0.3.5), dplyr (≥ 1.0.10), rsample (≥ 1.1.0), workflows (≥ 1.1.2), forcats, workflowsets, tidyr, broom, ggplot2, magrittr
Suggests: knitr, rmarkdown, stats, tibble, stringr, utils, recipes, multilevelmod, rules, poissonreg, censored, baguette, bonsai, brulee, rstanarm, dbarts, kknn, ranger, randomForest, LiblineaR, flexsurv, gee, glmnet, discrim, kernlab, klaR, mda, sda, sparsediscrim
Published: 2024-03-12
Author: Steven Sanderson ORCID iD [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson at gmail.com>
BugReports: https://github.com/spsanderson/tidyAML/issues
License: MIT + file LICENSE
URL: https://www.spsanderson.com/tidyAML/, https://github.com/spsanderson/tidyAML
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tidyAML results

Documentation:

Reference manual: tidyAML.pdf
Vignettes: Getting Started with tidyAML

Downloads:

Package source: tidyAML_0.0.5.tar.gz
Windows binaries: r-devel: tidyAML_0.0.5.zip, r-release: tidyAML_0.0.5.zip, r-oldrel: tidyAML_0.0.5.zip
macOS binaries: r-release (arm64): tidyAML_0.0.5.tgz, r-oldrel (arm64): tidyAML_0.0.5.tgz, r-release (x86_64): tidyAML_0.0.5.tgz
Old sources: tidyAML archive

Reverse dependencies:

Reverse imports: healthyverse

Linking:

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