triplot

Explaining Correlated Features in Machine Learning Models

CRAN Package

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) .

  • Version1.3.0
  • R version≥ 3.6
  • LicenseGPL-3
  • Needs compilation?No
  • Languageen-US
  • Last release07/13/2020

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  • Depends1 package
  • Imports5 packages
  • Suggests7 packages