Package: baguette 1.0.2.9000
![](https://github.com/tidymodels/baguette/raw/HEAD/man/figures/logo.png)
baguette:Efficient Model Functions for Bagging
Tree- and rule-based models can be bagged (<doi:10.1007/BF00058655>) using this package and their predictions equations are stored in an efficient format to reduce the model objects size and speed.
Authors:
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baguette.pdf |baguette.html✨
baguette/json (API)
NEWS
# Installbaguette in R: |
install.packages('baguette',repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tidymodels/baguette/issues
Last updated 3 months agofrom:ad9df1d3a2
Exports:%>%baggerclass_costcontrol_bagnnet_imp_garsonvar_impvar_imp.bagger
Dependencies:butcherC50clicodetoolscolorspacecpp11crayonCubistdialsDiceDesigndigestdplyrfansifarverFormulafurrrfuturegenericsggplot2globalsgluegtablehardhatinumisobandlabelinglatticelibcoinlifecyclelistenvlobstrmagrittrMASSMatrixmgcvmunsellmvtnormnlmeparallellyparsnippartykitpillarpkgconfigplyrprettyunitspurrrR6RColorBrewerRcppreshape2rlangrpartrsamplescalessliderstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewarpwithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bagging functions | bagger bagger.data.frame bagger.default bagger.formula bagger.matrix bagger.recipe |
Cost parameter for minority class | class_cost |
Controlling the bagging process | control_bag |
Predictions from a bagged model | predict.bagger |
Obtain variable importance scores | var_imp.bagger |