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) doi:10.48550/arXiv.1806.08915.
- Version1.3.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- Last release07/13/2020
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Team
Katarzyna Pekala
Przemyslaw Biecek
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- Imports5 packages
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