MI2DataLab/live: Local Interpretable (Model-Agnostic) Visual Explanations
Version 1.5.7

Interpretability of complex machine learning models is a growing concern. This package helps to understand key factors that drive the decision made by complicated predictive model (so called black box model). This is achieved through local approximations that are either based on additive regression like model or CART like model that allows for higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) . More details can be found in Staniak, Biecek (2018) .

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version1.5.7
URL https://github.com/MI2DataLab/live
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("MI2DataLab/live")
MI2DataLab/live documentation built on June 4, 2018, 5:27 p.m.