skip_on_cran

<p>Internal helper for test files. Skips test execution on CRAN while allowing
tests to run locally and in CI/CD where NOT_CRAN=true is set.</p>

internal

A general framework for constructing variable importance plots from
various types of machine learning models in R. Aside from some standard model-
specific variable importance measures, this package also provides model-
agnostic approaches that can be applied to any supervised learning algorithm.
These include 1) an efficient permutation-based variable importance measure,
2) variable importance based on Shapley values (Strumbelj and Kononenko,
2014) <doi:10.1007/s10115-013-0679-x>, and 3) the variance-based
approach described in Greenwell et al. (2018) <doi:10.48550/arXiv.1805.04755>. A
variance-based method for quantifying the relative strength of interaction
effects is also included (see the previous reference for details).

skip_on_cran: Skip tests on CRAN

Description

Usage

Arguments

Details