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xplainfi: Feature Importance Methods for Global Explanations
Provides a consistent interface for common feature importance methods as described in Ewald et al. (2024) <doi:10.1007/978-3-031-63797-1_22>, including permutation feature importance (PFI), conditional and relative feature importance (CFI, RFI), leave one covariate out (LOCO), and Shapley additive global importance (SAGE), as well as feature sampling mechanisms to support conditional importance methods.
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Package details |
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| Author | Lukas Burk [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-7528-3795>) |
| Maintainer | Lukas Burk <cran@lukasburk.de> |
| License | LGPL (>= 3) |
| Version | 1.1.0 |
| URL | https://mlr-org.github.io/xplainfi/ https://github.com/mlr-org/xplainfi |
| Package repository | View on CRAN |
| Installation |
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