Interaction Statistics
Average Loss
Dimensions of "hstats_matrix" Object
Dimnames (Replacement Method) of "hstats_matrix"
Dimnames of "hstats_matrix" Object
Overall Interaction Strength
Pairwise Interaction Strength
Three-way Interaction Strength
Total Interaction Strength
Calculate Interaction Statistics
Individual Conditional Expectations
Multivariate Grid
Partial Dependence Plot
PD Bases Importance (Experimental)
Permutation Importance
Plots "hstats_matrix" Object
Plot Method for "hstats" Object
Plots "ice" Object
Plots "partial_dep" Object
Prints "hstats_matrix" Object
Print Method
Print Method
Prints "ice" Object
Prints "partial_dep" Object
Subsets "hstats_matrix" Object
Summary Method
Univariate Grid
Fast, model-agnostic implementation of different H-statistics introduced by Jerome H. Friedman and Bogdan E. Popescu (2008) <doi:10.1214/07-AOAS148>. These statistics quantify interaction strength per feature, feature pair, and feature triple. The package supports multi-output predictions and can account for case weights. In addition, several variants of the original statistics are provided. The shape of the interactions can be explored through partial dependence plots or individual conditional expectation plots. 'DALEX' explainers, meta learners ('mlr3', 'tidymodels', 'caret') and most other models work out-of-the-box.
Useful links