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: | 1.1.1.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | caret, purrr, dplyr, magrittr, ggplot2, lattice |
| Suggests: | testthat, knitr, rmarkdown, recipes, randomForest |
| Published: | 2018-11-04 |
| Author: | Lars Kjeldgaard [aut, cre] |
| Maintainer: | Lars Kjeldgaard <lars_kjeldgaard at hotmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/smaakage85/modelgrid |
| NeedsCompilation: | no |
| CRAN checks: | modelgrid results |
| Reference manual: | modelgrid.pdf |
| Vignettes: |
Introduction to modelgrid |
| Package source: | modelgrid_1.1.1.0.tar.gz |
| Windows binaries: | r-devel: modelgrid_1.1.1.0.zip, r-release: modelgrid_1.1.1.0.zip, r-oldrel: modelgrid_1.1.1.0.zip |
| macOS binaries: | r-release: modelgrid_1.1.1.0.tgz, r-oldrel: modelgrid_1.1.1.0.tgz |
| Old sources: | modelgrid archive |
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