Index

A

AggregatedExplainer (class in xai_agg.agg_exp)

AnchorWrapper (class in xai_agg.explainers)

C

count_worst_case_avoidances() (in module xai_agg.exp_utils)

E

evaluate_aggregate_explainer() (in module xai_agg.exp_utils) ExperimentRun (class in xai_agg.exp_utils) explain_instance() (xai_agg.agg_exp.AggregatedExplainer method) (xai_agg.explainers.AnchorWrapper method) (xai_agg.explainers.ExplainerWrapper method) (xai_agg.explainers.LimeWrapper method) (xai_agg.explainers.ShapTabularKernelWrapper method) (xai_agg.explainers.ShapTabularTreeWrapper method)

ExplainerWrapper (class in xai_agg.explainers) ExplanationModel (class in xai_agg.explainers) ExplanationModel.Config (class in xai_agg.explainers)

F

feature (xai_agg.explainers.ExplanationModel attribute)

G

get_average_metric_rank() (in module xai_agg.exp_utils)

get_expconfig_mean_results() (in module xai_agg.exp_utils) get_last_explanation_info() (xai_agg.agg_exp.AggregatedExplainer method)

L

LimeWrapper (class in xai_agg.explainers)

M

metadata (xai_agg.exp_utils.ExperimentRun attribute) module xai_agg xai_agg.agg_exp xai_agg.exp_utils xai_agg.explainers

N

name (xai_agg.explainers.ExplanationModel.Config attribute)

P

present_experiment_run() (in module xai_agg.exp_utils)

R

results (xai_agg.exp_utils.ExperimentRun attribute)

S

score (xai_agg.explainers.ExplanationModel attribute)

ShapTabularKernelWrapper (class in xai_agg.explainers) ShapTabularTreeWrapper (class in xai_agg.explainers)

X

xai_agg module xai_agg.agg_exp module

xai_agg.exp_utils module xai_agg.explainers module