A general framework for constructing variable importance plots from various types of machine learning models in R. Aside from some standard model- specific variable importance measures, this package also provides model- agnostic approaches that can be applied to any supervised learning algorithm. These include 1) an efficient permutation-based variable importance measure, 2) variable importance based on Shapley values (Strumbelj and Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and 3) the variance-based approach described in Greenwell et al. (2018) <doi:10.48550/arXiv.1805.04755>. A variance-based method for quantifying the relative strength of interaction effects is also included (see the previous reference for details).
Version: 0.4.1 Depends: R (≥ 4.1.0) Imports: foreach, ggplot2 (≥ 0.9.0), stats, tibble, utils, yardstick Suggests: bookdown, DT, covr, doParallel, dplyr, fastshap (≥ 0.1.0), knitr, lattice, mlbench, modeldata, NeuralNetTools, pdp, rmarkdown, tinytest (≥ 1.4.1), varImp Enhances: C50, caret, Cubist, earth, gbm, glmnet, h2o, lightgbm, mixOmics, mlr, mlr3, neuralnet, nnet, parsnip (≥ 0.1.7), party, partykit, pls, randomForest, ranger, rpart, RSNNS, sparklyr (≥ 0.8.0), tidymodels, workflows (≥ 0.2.3), xgboost Published: 2023-08-21 DOI: 10.32614/CRAN.package.vip Author: Brandon M. Greenwell [aut, cre], Brad Boehmke [aut] Maintainer: Brandon M. Greenwell <greenwell.brandon at gmail.com> BugReports: https://github.com/koalaverse/vip/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/koalaverse/vip/, https://koalaverse.github.io/vip/ NeedsCompilation: no Citation: vip citation info Materials: README, NEWS CRAN checks: vip results Documentation: Downloads: Reverse dependencies: Reverse imports: flowml, MLwrap, moreparty, prettyglm, radiant.model Reverse suggests: easyalluvial, ENMTools, finnts, gbm, pdp, tabnet, waywiser Linking:Please use the canonical form https://CRAN.R-project.org/package=vip to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4