juliafried/imlplots: Interactive Plots for Interpretable Machine Learning
Make the predictions of machine learning models explainable by opening up the blackboxes of numerous non-linear statistical models. This package provides a user-friendly interactive interface to produce Individual Conditional Expectation (ICE) plots, Partial Dependence Plots (PDP) and Accumulated Local Effects (ALE) plots.
Getting started
Browse package contents
Package details |
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| Author | c( person("Julia", "Fried", role = c("aut", "cre")), person("Tobias", "Riebe", role = c("aut", "cre")), person("Christian", "Scholbeck", email = "christian.scholbeck@gmx.de", role = c("aut", "cre"))) |
| Maintainer | |
| License | BSD_2_clause |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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