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>.
Package details |
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Author | Katarzyna Pekala [aut, cre], Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>) |
Maintainer | Katarzyna Pekala <katarzyna.pekala@gmail.com> |
License | GPL-3 |
Version | 1.3.0 |
URL | https://github.com/ModelOriented/triplot |
Package repository | View on CRAN |
Installation |
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