shapviz0.9.6 package

SHAP Visualizations

c.shapviz

Concatenates "shapviz" Objects

collapse_shap

Collapse SHAP values

dim.shapviz

Dimensions of "shapviz" Object

dimnames-set-.shapviz

Dimnames (Replacement Method) of "shapviz" Object

dimnames.shapviz

Dimnames of "shapviz" Object

extractors

Extractor Functions

format_max

Number Formatter

is.mshapviz

Check for mshapviz

is.shapviz

Check for shapviz

mshapviz

Combines compatible "shapviz" Objects

plus-.shapviz

Rowbinds two "shapviz" Objects

potential_interactions

Interaction Strength

print.mshapviz

Prints "mshapviz" Object

print.shapviz

Prints "shapviz" Object

rbind.shapviz

Rowbinds Multiple "shapviz" or "mshapviz" Objects

shapviz-package

shapviz: SHAP Visualizations

shapviz

Initialize "shapviz" Object

split.shapviz

Splits "shapviz" Object

sub-.shapviz

Subsets "shapviz" Object

summary.shapviz

Summarizes "shapviz" Object

sv_dependence

SHAP Dependence Plot

sv_dependence2D

2D SHAP Dependence Plot

sv_force

SHAP Force Plot

sv_importance

SHAP Importance Plots

sv_interaction

SHAP Interaction Plot

sv_waterfall

SHAP Waterfall Plot

Download source packageRead PDF manual

Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.

  • Maintainer: Michael Mayer
  • License: GPL (>= 2)
  • Last published: 2024-10-11

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