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: 0.0.2
Depends: parsnip, R (≥ 3.4.0)
Imports: magrittr, rlang (≥ 0.4.11), purrr (≥ 0.3.5), dplyr (≥ 1.0.10), rsample (≥ 1.1.0), workflows (≥ 1.1.2), forcats, workflowsets
Suggests: knitr, rmarkdown, roxygen2, stats, tibble, stringr, utils, recipes
Published: 2023-04-20
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson at gmail.com>
BugReports: https://github.com/spsanderson/tidyAML/issues
License: MIT + file LICENSE
URL: https://github.com/spsanderson/tidyAML
NeedsCompilation: no
Materials: README NEWS
CRAN checks: tidyAML results


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


Package source: tidyAML_0.0.2.tar.gz
Windows binaries: r-devel: tidyAML_0.0.2.zip, r-release: tidyAML_0.0.2.zip, r-oldrel: tidyAML_0.0.2.zip
macOS binaries: r-release (arm64): tidyAML_0.0.2.tgz, r-oldrel (arm64): tidyAML_0.0.2.tgz, r-release (x86_64): tidyAML_0.0.2.tgz, r-oldrel (x86_64): tidyAML_0.0.2.tgz
Old sources: tidyAML archive

Reverse dependencies:

Reverse imports: healthyverse


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