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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
DOI: 10.32614/CRAN.package.tidyAML
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, r-oldrel (x86_64): tidyAML_0.0.5.tgz
Old sources: tidyAML archive

Reverse dependencies:

Reverse imports: healthyverse

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tidyAML to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.