swMATH ID: 35217
Software Authors: Katarzyna Pekala, Przemyslaw Biecek
Description: R package 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>.
Homepage: https://cran.r-project.org/web/packages/triplot/index.html
Source Code: https://github.com/cran/triplot
Dependencies: R
Related Software: ELI5; forestmodel; EIX; reticulate; H2O; breakDown; shapr; fairml; kknn; ExplainPrediction; deepdep; arenar; Scikit; lime; PyTorch; randomForestExplainer; InterpretML; corrgrapher; flashlight; mcr
Cited in: 0 Publications