Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing
comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning.
It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
Version: |
0.2.0 |
Imports: |
recipes, dplyr, ggplot2, reshape2, foreach, doParallel, rsample, parsnip, tune, workflows, yardstick, tibble, rlang, stats, dials, magrittr |
Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown, C50, glmnet, xgboost, ranger, crayon, kernlab, discrim, baguette, plsmod, keras, lightgbm, bonsai, rstanarm |
Published: |
2024-11-30 |
DOI: |
10.32614/CRAN.package.fastml |
Author: |
Selcuk Korkmaz
[aut, cre],
Dincer Goksuluk
[aut] |
Maintainer: |
Selcuk Korkmaz <selcukorkmaz at gmail.com> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
no |
Materials: |
README |
CRAN checks: |
fastml results |