sense: Automatic Stacked Ensemble for Regression Tasks

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: 1.0.0
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 (≥ 0.7.1), 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: 2021-09-06
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

Downloads:

Reference manual: sense.pdf
Package source: sense_1.0.0.tar.gz
Windows binaries: r-devel: sense_1.0.0.zip, r-release: sense_1.0.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): sense_1.0.0.tgz, r-release (x86_64): sense_1.0.0.tgz, r-oldrel: not available

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