r-ingredients 1.3.1 Effects and importances of model ingredients
This is a collection of tools for assessment of feature importance and feature effects. Key functions are:
feature_importance()
for assessment of global level feature importance,ceteris_paribus()
for calculation of the what-if plots,partial_dependence()
for partial dependence plots,conditional_dependence()
for conditional dependence plots,accumulated_dependence()
for accumulated local effects plots,aggregate_profiles()
andcluster_profiles()
for aggregation of ceteris paribus profiles,generic
print()
andplot()
for better usability of selected explainers,generic
plotD3()
for interactive, D3 based explanations, andgeneric
describe()
for explanations in natural language.
- Website: https://ModelOriented.github.io/ingredients/
- License: GPL 3
- Package source: cran.scm
- Patches: None
- Builds: x86_64-linux, i686-linux