r-iml 0.11.3
Propagated dependencies: r-checkmate@2.3.2 r-data-table@1.16.2 r-formula@1.2-5 r-future@1.34.0 r-future-apply@1.11.3 r-ggplot2@3.5.1 r-metrics@0.1.4 r-r6@2.5.1
Channel: guix
Home page: https://github.com/christophM/iml
Licenses: Expat
Synopsis: Interpretable machine learning
Description:
This package provides interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are:
Feature importance described by Fisher et al. (2018),
accumulated local effects plots described by Apley (2018),
partial dependence plots described by Friedman (2001),
individual conditional expectation ('ice') plots described by Goldstein et al. (2013) https://doi.org/10.1080/10618600.2014.907095,
local models (variant of 'lime') described by Ribeiro et. al (2016),
the Shapley Value described by Strumbelj et. al (2014) https://doi.org/10.1007/s10115-013-0679-x,
feature interactions described by Friedman et. al https://doi.org/10.1214/07-AOAS148 and tree surrogate models.
Total results: 1