Stacked ensembles for regression tasks using the 'mlr3' framework,
internal preprocessing and out-of-fold stacking, and hyperparameter tuning
using grid or random search. Supports numeric and categorical predictors.
| Version: |
1.2.0 |
| Depends: |
R (≥ 4.1) |
| Imports: |
mlr3 (≥ 0.12.0), mlr3learners (≥ 0.5.0), paradox (≥ 1.0.0), mlr3tuning (≥ 0.8.0), bbotk (≥ 0.3.2), data.table (≥
1.14.0), R6, stats, graphics, utils |
| Suggests: |
testthat (≥ 3.0.0), mlr3filters (≥ 0.4.2), knitr, xgboost (≥ 1.4.1.1), rpart (≥ 4.1-15), ranger (≥ 0.13.1), kknn (≥
1.3.1), glmnet (≥ 4.1-2), e1071 (≥ 1.7-8), FSelectorRcpp (≥
0.3.8), care (≥ 1.1.10), praznik (≥ 8.0.0), lme4 (≥
1.1-27.1) |
| Published: |
2026-09-08 |
| DOI: |
10.32614/CRAN.package.sense |
| Author: |
Giancarlo Vercellino [aut, cre] |
| Maintainer: |
Giancarlo Vercellino <giancarlo.vercellino at gmail.com> |
| License: |
GPL-3 |
| URL: |
https://mlr3.mlr-org.com/ |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
sense results |