triplot: Explaining Correlated Features in Machine Learning Models

Tools for exploring effects of correlated features in predictive models. The predict_triplot() function delivers instance-level explanations that calculate the importance of the groups of explanatory variables. The model_triplot() function delivers data-level explanations. The generic plot function visualises in a concise way importance of hierarchical groups of predictors. All of the the tools are model agnostic, therefore works for any predictive machine learning models. Find more details in Biecek (2018) <arXiv:1806.08915>.

Getting started

Package details

AuthorKatarzyna Pekala [aut, cre], Przemyslaw Biecek [aut] (<>)
MaintainerKatarzyna Pekala <>
Package repositoryView on CRAN
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triplot documentation built on July 13, 2020, 5:08 p.m.