Package index

Explain predictions

Compute (approximate) Shapley values and related effect decompositions for the predictions of any supervised learning model.

explain()

Fast approximate Shapley values

explain_effects() print(<explain_effects>)

Main, total, and interaction effect decomposition

Data

Example data sets and generators used in examples and tests.

gen_friedman()

Friedman benchmark data

titanic

Survival of Titanic passengers

titanic_mice

Survival of Titanic passengers