Automatic Stacked Ensemble for Regression Tasks R package sense version 1.1.0 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. Software 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) Giancarlo Vercellino <giancarlo.vercellino@gmail.com> Comprehensive R Archive Network (CRAN) Giancarlo Vercellino GPL-3 2024-06-19 application/tgz https://CRAN.R-project.org/package=sense doi:10.32614/CRAN.package.sense