Index

_

__call__() (causalig.attr._core.causal_shap.CausalMasker method) (causalig.attr._core.conditional_shap.ConditionalMasker method) (causalig.attr._core.conditional_shap.GaussianConditionalSampler method)

_convergence_delta() (causalig.attr._core.attribution.Attribution method) _format_input() (causalig.attr._core.attribution.Attribution method) _format_output() (causalig.attr._core.attribution.Attribution method) _validate_inputs() (causalig.attr._core.attribution.Attribution method)

A

attribute() (causalig.attr._core.attribution.Attribution method) (causalig.attr.CausalExpectedGradients method) (causalig.attr.CausalExpectedGradientsMultiStep method) (causalig.attr.CausalIntegratedGradients method) (causalig.attr.CausalSHAP method) (causalig.attr.ConditionalSHAP method)

Attribution (class in causalig.attr._core.attribution)

B

BasisExpansion (class in causalig.models.surrogate)

C

CausalExpectedGradients (class in causalig.attr) CausalExpectedGradientsMultiStep (class in causalig.attr) causalig.attr module causalig.models module causalig.utils module

CausalIntegratedGradients (class in causalig.attr) CausalMasker (class in causalig.attr._core.causal_shap) CausalSHAP (class in causalig.attr) compute_input_jacobian() (causalig.models.MaskedGlobalLinear method) compute_surrogate_gradients() (in module causalig.attr._utils.surrogate) ConditionalMasker (class in causalig.attr._core.conditional_shap) ConditionalSHAP (class in causalig.attr) create_autoencoder_from_scm() (in module causalig.models)

D

derivative() (causalig.models.surrogate.BasisExpansion method)

DifferentiableSCM (class in causalig.models)

F

find_ancestors() (in module causalig.utils) find_eldest_ancestors() (in module causalig.utils) forward() (causalig.attr._utils.surrogate.ModelInterface method) (causalig.models.DifferentiableSCM method) (causalig.models.MaskedGlobalLinear method) (causalig.models.surrogate.BasisExpansion method)

forward_do() (causalig.models.DifferentiableSCM method)

G

gaussian_conditional_sampler() (in module causalig.attr._core.conditional_shap) gaussian_noise() (in module causalig.attr._core.causal_shap)

GaussianConditionalSampler (class in causalig.attr._core.conditional_shap) get_connected_groups() (in module causalig.utils.graph) get_experiment_logger() (in module causalig.utils)

L

linear_path_samples() (in module causalig.attr._utils.path)

LinearPathSampler (class in causalig.attr._utils.path)

M

MASK_VAL (in module causalig.attr._utils.surrogate) MaskedGlobalLinear (class in causalig.models) ModelInterface (class in causalig.attr._utils.surrogate)

module causalig.attr causalig.models causalig.utils

P

PathSampler (class in causalig.attr._utils.path)

propagate_upstream() (in module causalig.utils.graph)

S

sample() (causalig.attr._utils.path.LinearPathSampler method) (causalig.attr._utils.path.PathSampler method)

sample_pairwise_stochastic() (causalig.attr._utils.path.LinearPathSampler method) setup_experiment_logger() (in module causalig.utils)

T

train_surrogate_model() (in module causalig.models)