Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements methods which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.
Version: 1.0.4 Depends: R (≥ 3.5.0) Imports: stats, data.table (≥ 1.15.0), Rcpp (≥ 0.12.15), Matrix, future.apply, methods, cli, rlang LinkingTo: RcppArmadillo, Rcpp Suggests: ranger, xgboost, mgcv, testthat (≥ 3.0.0), knitr, rmarkdown, roxygen2, ggplot2, gbm, party, partykit, waldo, progressr, future, ggbeeswarm, vdiffr, forecast, torch, GGally, coro, parsnip, recipes, workflows, tune, dials, yardstick, hardhat, rsample Published: 2025-04-28 DOI: 10.32614/CRAN.package.shapr Author: Martin Jullum [cre, aut], Lars Henry Berge Olsen [aut], Annabelle Redelmeier [aut], Jon Lachmann [aut], Nikolai Sellereite [aut], Anders Løland [ctb], Jens Christian Wahl [ctb], Camilla Lingjærde [ctb], Norsk Regnesentral [cph, fnd] Maintainer: Martin Jullum <Martin.Jullum at nr.no> BugReports: https://github.com/NorskRegnesentral/shapr/issues License: MIT + file LICENSE URL: https://norskregnesentral.github.io/shapr/, https://github.com/NorskRegnesentral/shapr/ NeedsCompilation: yes Language: en-US Citation: shapr citation info Materials: README NEWS In views: MachineLearning CRAN checks: shapr results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=shapr 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