xplainfi-package: xplainfi: Feature Importance Methods for Global Explanations

In xplainfi: Feature Importance Methods for Global Explanations

xplainfi: Feature Importance Methods for Global Explanations

Description

Provides a consistent interface for common feature importance methods as described in Ewald et al. (2024) \Sexpr[results=rd]{tools:::Rd_expr_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.

Author(s)

Maintainer: Lukas Burk [e-mail] (ORCID) [copyright holder]

See Also

Useful links:

• https://mlr-org.github.io/xplainfi/

• https://github.com/mlr-org/xplainfi

• Report bugs at https://github.com/mlr-org/xplainfi/issues

xplainfi documentation built on Feb. 27, 2026, 1:08 a.m.