DeepLift (Shrikumar, Greenside, Kundaje, 2017) is a method for interpreting trained networks, and could be useful to incorporate into LUMIN. The SHAP package appears to offer an implementation of it, along with other useful classes for interpreting models (including trees). Perhaps it could be good to include wrapper methods for these classes to allow their use on LUMIN models and PlotSettings, similar to plot_1d_partial_dependence?
DeepLift (Shrikumar, Greenside, Kundaje, 2017) is a method for interpreting trained networks, and could be useful to incorporate into LUMIN. The SHAP package appears to offer an implementation of it, along with other useful classes for interpreting models (including trees). Perhaps it could be good to include wrapper methods for these classes to allow their use on LUMIN models and
PlotSettings, similar toplot_1d_partial_dependence?