xplainfi

xplainfi-package

Provides a consistent interface for common feature importance methods as described in Ewald et al. (2024) 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.

internal

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.

Lukas Burk

Feature Importance Methods for Global Explanations

xplainfi-package function

Maintainer: Lukas Burk <a href="/link/cran%40lukasburk.de?package=xplainfi&version=1.0.0" data-mini-rdoc="xplainfi::cran@lukasburk.de">cran@lukasburk.de</a> (<a href="https://orcid.org/0000-0001-7528-3795">ORCID</a>) [copyright holder]

Author

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

Maintainer: Lukas Burk <a href='mailto:cran@lukasburk.de'>cran@lukasburk.de</a> (<a href='https://orcid.org/0000-0001-7528-3795'>ORCID</a>) [copyright holder]

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

Description

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Author

See Also