vi_pdp

vi_ice

Arguments passed on to <code><a rd-options="" href="/link/vi_firm?package=vip&version=0.3.2" data-mini-rdoc="vip::vi_firm">vi_firm</a></code>.

These functions have been deprecated and should not be used. They will be
removed in the next release.

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) <arXiv:1805.04755>. A
variance-based method for quantifying the relative strength of interaction
effects is also included (see the previous reference for details).

Brandon Greenwell

Variable Importance Plots

Brad Boehmke

Bernie Gray

vi_pdp function

<dl><dt>...</dt>
<dd>Arguments passed on to <code>vi_firm</code>.</dd></dl>

Arguments

Deprecated — vi_pdp

<dl>

<dt>...</dt>
<dd>Arguments passed on to <code>vi_firm</code>.</dd>

</dl>

vi_pdp: Deprecated

Description

Usage

Arguments