Stacked ensemble for regression tasks based on 'mlr3' framework with a pipeline for preprocessing numeric and factor features and hyper-parameter tuning using grid or random search.
| Version: |
1.1.0 |
| Depends: |
R (≥ 4.1) |
| Imports: |
mlr3 (≥ 0.12.0), mlr3learners (≥ 0.5.0), mlr3filters (≥
0.4.2), mlr3pipelines (≥ 0.3.5-1), mlr3viz (≥ 0.5.5), paradox (≥ 1.0.0), mlr3tuning (≥ 0.8.0), bbotk (≥ 0.3.2), tictoc (≥
1.0.1), forcats (≥ 0.5.1), readr (≥ 2.0.1), lubridate (≥
1.7.10), purrr (≥ 0.3.4), Metrics (≥ 0.1.4), data.table (≥
1.14.0), visNetwork (≥ 2.0.9) |
| Suggests: |
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), mlr3misc (≥ 0.9.3), FSelectorRcpp (≥ 0.3.8), care (≥ 1.1.10), praznik (≥ 8.0.0), lme4 (≥ 1.1-27.1), nloptr (≥ 1.2.2.2) |
| Published: |
2024-06-19 |
| DOI: |
10.32614/CRAN.package.sense |
| Author: |
Giancarlo Vercellino |
| 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 |