modelgrid: A Framework for Creating, Managing and Training Multiple 'caret' Models

A minimalistic but flexible framework that facilitates the creation, management and training of multiple 'caret' models. A model grid consists of two components, (1) a set of settings that is shared by all models by default, and (2) specifications that apply only to the individual models. When the model grid is trained, model and training specifications are first consolidated from the shared and the model specific settings into complete 'caret' model configurations. These models are then trained with the 'train()' function from the 'caret' package.

Version:	1.2.0
Depends:	R (≥ 3.4.0)
Imports:	caret, purrr, dplyr, magrittr
Suggests:	testthat, knitr, rmarkdown, recipes
Published:	2024-05-07
Author:	Lars Kjeldgaard [aut], Angel Robles [cre]
Maintainer:	Angel Robles <a.l.robles.fernandez at gmail.com>
License:	MIT + file LICENSE
URL:	https://github.com/smaakage85/modelgrid
NeedsCompilation:	no
CRAN checks:	modelgrid results

Documentation:

Reference manual:	modelgrid.pdf
Vignettes:	Introduction to modelgrid

Downloads:

Package source:	modelgrid_1.2.0.tar.gz
Windows binaries:	r-devel: modelgrid_1.2.0.zip, r-release: modelgrid_1.2.0.zip, r-oldrel: modelgrid_1.2.0.zip
macOS binaries:	r-release (arm64): modelgrid_1.2.0.tgz, r-oldrel (arm64): modelgrid_1.2.0.tgz, r-release (x86_64): modelgrid_1.2.0.tgz, r-oldrel (x86_64): modelgrid_1.2.0.tgz
Old sources:	modelgrid archive

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