Create local, regional, and global explanations for any machine learning model with forward marginal effects. You provide a model and data, and 'fmeffects' computes feature effects. The package is based on the theory in: C. A. Scholbeck, G. Casalicchio, C. Molnar, B. Bischl, and C. Heumann (2022) <doi:10.48550/arXiv.2201.08837>.
Version: 0.1.4 Depends: R (≥ 3.5.0) Imports: checkmate, cli, data.table, partykit, ggparty, ggplot2, cowplot, R6, testthat Suggests: caret, furrr, future, hexbin, knitr, mlr3verse, parallelly, ranger, rmarkdown, rpart, tidymodels Published: 2024-11-05 DOI: 10.32614/CRAN.package.fmeffects Author: Holger Löwe [cre, aut], Christian Scholbeck [aut], Christian Heumann [rev], Bernd Bischl [rev], Giuseppe Casalicchio [rev] Maintainer: Holger Löwe <hbj.loewe at gmail.com> BugReports: https://github.com/holgstr/fmeffects/issues License: LGPL-3 URL: https://holgstr.github.io/fmeffects/, https://github.com/holgstr/fmeffects NeedsCompilation: no Materials: README NEWS CRAN checks: fmeffects results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=fmeffects 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