Index

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__call__() (fdfi.explainers.Crossfitting method) (fdfi.explainers.EOTExplainer method) (fdfi.explainers.Explainer method) (fdfi.explainers.FlowExplainer method) (fdfi.explainers.KernelExplainer method) (fdfi.explainers.LinearExplainer method) (fdfi.explainers.OTExplainer method) (fdfi.explainers.TreeExplainer method)

__init__() (fdfi.explainers.Crossfitting method) (fdfi.explainers.EOTExplainer method) (fdfi.explainers.Explainer method) (fdfi.explainers.FlowExplainer method) (fdfi.explainers.KernelExplainer method) (fdfi.explainers.LinearExplainer method) (fdfi.explainers.OTExplainer method) (fdfi.explainers.TreeExplainer method) (fdfi.utils.TwoComponentMixture method)

A

absolute_error() (in module fdfi.losses)

available_losses() (in module fdfi.losses)

B

brier() (in module fdfi.losses)

C

check_additivity() (in module fdfi.utils) compute_latent_independence() (in module fdfi.utils) compute_mmd() (in module fdfi.utils) conf_int() (fdfi.explainers.Explainer method)

confidence_interval_plot() (in module fdfi.plots) convert_to_link() (in module fdfi.utils) correlation_heatmap() (in module fdfi.plots) Crossfitting (class in fdfi.explainers) cv_ (fdfi.explainers.Crossfitting attribute)

D

data (fdfi.explainers.Explainer attribute) dependence_plot() (in module fdfi.plots) detect_feature_types() (in module fdfi.utils)

diagnose() (fdfi.explainers.Explainer method) diagnostics (fdfi.explainers.OTExplainer attribute) diagnostics_plot() (in module fdfi.plots)

E

EOTExplainer (class in fdfi.explainers)

Explainer (class in fdfi.explainers)

F

fdfi.explainers.DFIExplainer (in module fdfi.losses) fdfi.losses module fit() (fdfi.utils.TwoComponentMixture method) fit_flow() (fdfi.explainers.FlowExplainer method)

flow_model (fdfi.explainers.FlowExplainer attribute) FlowExplainer (class in fdfi.explainers) fold_explainers (fdfi.explainers.Crossfitting attribute) fold_indices (fdfi.explainers.Crossfitting attribute) force_plot() (in module fdfi.plots)

G

get_feature_names() (in module fdfi.utils) gmm_ (fdfi.utils.TwoComponentMixture attribute)

gower_cost_matrix() (in module fdfi.utils) group_importance() (fdfi.explainers.Explainer method)

H

huber() (in module fdfi.losses)

K

KernelExplainer (class in fdfi.explainers)

L

L (fdfi.explainers.OTExplainer attribute) L_inv (fdfi.explainers.OTExplainer attribute)

LinearExplainer (class in fdfi.explainers) log_loss() (in module fdfi.losses)

M

mean (fdfi.explainers.OTExplainer attribute) means_ (fdfi.utils.TwoComponentMixture attribute) method (fdfi.explainers.FlowExplainer attribute) method_used_ (fdfi.utils.TwoComponentMixture attribute)

min_samples (fdfi.utils.TwoComponentMixture attribute) model (fdfi.explainers.Explainer attribute) module fdfi.losses

N

n_components (fdfi.utils.TwoComponentMixture attribute)

O

OTExplainer (class in fdfi.explainers)

P

pinball() (in module fdfi.losses)

plot() (fdfi.utils.TwoComponentMixture method)

Q

quantile() (fdfi.utils.TwoComponentMixture method)

R

random_state (fdfi.utils.TwoComponentMixture attribute)

resolve_loss() (in module fdfi.losses)

S

sample_background() (in module fdfi.utils) set_flow() (fdfi.explainers.FlowExplainer method) shap_values() (fdfi.explainers.Explainer method) squared_error() (in module fdfi.losses)

stds_ (fdfi.utils.TwoComponentMixture attribute) summary() (fdfi.explainers.Explainer method) summary_bar() (in module fdfi.plots) summary_plot() (in module fdfi.plots)

T

TreeExplainer (class in fdfi.explainers)

TwoComponentMixture (class in fdfi.utils)

U

ueifs_X (fdfi.explainers.Crossfitting attribute) (fdfi.explainers.OTExplainer attribute)

ueifs_Z (fdfi.explainers.Crossfitting attribute) (fdfi.explainers.OTExplainer attribute)

V

validate_input() (in module fdfi.utils)

W

waterfall_plot() (in module fdfi.plots)

weights_ (fdfi.utils.TwoComponentMixture attribute)

Z

Z_full (fdfi.explainers.FlowExplainer attribute) (fdfi.explainers.OTExplainer attribute)

zero_one() (in module fdfi.losses)