Index

A

accumulate_grad() (cascade.nn.Scaffold method) acyclify() (in module cascade.graph) AcycPrior (class in cascade.nn) aggregate_obs() (in module cascade.data)

annot_resp() (in module cascade.metrics) annotate_explanation() (in module cascade.graph) assemble_scaffolds() (in module cascade.graph) AttnPool (class in cascade.nn) autodevice() (in module cascade.utils)

B

backward() (cascade.core.CausalNetwork method)

Bilinear (class in cascade.nn) both (cascade.core.LogAdj attribute)

C

cascade module CASCADE (class in cascade.model) cascade() (cascade.core.CausalNetwork method) cascade.core module cascade.data module cascade.graph module cascade.metrics module cascade.model module cascade.nn module cascade.plot module cascade.sim module cascade.typing module cascade.utils module

CausalNetwork (class in cascade.core) check_affinity_inheritance() (in module cascade.utils) clear_cached_properties() (cascade.nn.Module method) cmp_true_pred() (in module cascade.metrics) compute_kernel() (cascade.core.CausalNetwork method) compute_lik() (cascade.core.CausalNetwork method) compute_limit() (cascade.nn.SpecNorm method) compute_logit() (cascade.nn.Bilinear method) (cascade.nn.Edgewise method) (cascade.nn.Scaffold method) compute_prior() (cascade.core.CausalNetwork method) Config (class in cascade.utils) configure_dataset() (in module cascade.data) construct_sparse_tensor() (cascade.nn.Scaffold method) copy_like() (in module cascade.nn) core_explanation_graph() (in module cascade.graph) count_occurrence() (in module cascade.utils) counterfactual() (cascade.model.CASCADE method) covariance() (in module cascade.utils) ctfact (cascade.core.FitStage attribute) ctfact_delta_pcc() (in module cascade.metrics) ctfact_dir_acc() (in module cascade.metrics) ctfact_mse() (in module cascade.metrics) ctmean (cascade.core.PredictMode attribute) ctsamp (cascade.core.PredictMode attribute)

D

DAGType (class in cascade.sim) DataModule (class in cascade.data) decay_params() (cascade.nn.Module method) demultiplex() (in module cascade.graph) densify() (in module cascade.utils) design (cascade.core.FitStage attribute) design() (cascade.model.CASCADE method) design_brute_force() (cascade.model.CASCADE method) design_error_curve() (cascade.model.CASCADE method) diagnose() (cascade.model.CASCADE method) disc_acc() (in module cascade.metrics) disc_ap() (in module cascade.metrics) disc_auroc() (in module cascade.metrics) disc_f1() (in module cascade.metrics) disc_prec() (in module cascade.metrics)

disc_recall() (in module cascade.metrics) disc_resp_acc() (in module cascade.metrics) disc_resp_dist() (in module cascade.metrics) disc_resp_dist_diff() (in module cascade.metrics) disc_shd() (in module cascade.metrics) disc_sid() (in module cascade.metrics) discover (cascade.core.FitStage attribute) discover() (cascade.model.CASCADE method) DiscoverScheduler (class in cascade.core) dot() (cascade.nn.SpecNorm static method) dsgn_auhrc_exact() (in module cascade.metrics) dsgn_auhrc_partial() (in module cascade.metrics) dsgn_hrc_exact() (in module cascade.metrics) dsgn_hrc_partial() (in module cascade.metrics) DynamicPairedDataModule (class in cascade.data) DynamicPairedDataset (class in cascade.data)

E

Edgewise (class in cascade.nn) EmbLatent (class in cascade.nn) encode_regime() (in module cascade.data) energy() (cascade.nn.L1 method) (cascade.nn.LogDet method) (cascade.nn.Prior method) (cascade.nn.ScaleFree method) (cascade.nn.SpecNorm method) (cascade.nn.TrExp method)

explain (cascade.core.PredictMode attribute) explain() (cascade.core.CausalNetwork method) (cascade.model.CASCADE method) export_causal_graph() (cascade.model.CASCADE method) export_causal_map() (cascade.model.CASCADE method) export_graph() (cascade.nn.Scaffold method)

F

filter_edges() (in module cascade.graph) filter_unobserved_targets() (in module cascade.data) FitStage (class in cascade.core) forward() (cascade.core.CausalNetwork method) (cascade.nn.AttnPool method) (cascade.nn.EmbLatent method) (cascade.nn.Func method) (cascade.nn.GCNLatent method) (cascade.nn.Kernel method) (cascade.nn.KroneckerDelta method) (cascade.nn.Latent method) (cascade.nn.Likelihood method) (cascade.nn.MultiLinear method) (cascade.nn.NegBin method) (cascade.nn.NilLatent method) (cascade.nn.Normal method) (cascade.nn.RBF method)

freeze_params() (cascade.nn.Module method) Func (class in cascade.nn)

G

GCNLatent (class in cascade.nn) generate_dag() (in module cascade.sim) get_all_targets() (in module cascade.data) get_configuration() (in module cascade.data) get_disp() (cascade.nn.Likelihood static method) (cascade.nn.NegBin static method) (cascade.nn.Normal static method)

get_mean() (cascade.nn.Likelihood static method) (cascade.nn.NegBin static method) (cascade.nn.Normal static method) get_random_state() (in module cascade.utils) gp_regression_with_ci() (in module cascade.utils) gumbel_sigmoid() (in module cascade.nn)

H

hclust() (in module cascade.utils)

I

import_causal_graph() (cascade.model.CASCADE method) import_graph() (cascade.nn.Scaffold method) interactive_heatmap() (in module cascade.plot)

internal() (in module cascade.utils) IntervDesign (class in cascade.nn) is_notebook() (in module cascade.utils)

J

jac (cascade.core.PredictMode attribute)

jacobian() (cascade.model.CASCADE method)

K

Kernel (class in cascade.nn)

KroneckerDelta (class in cascade.nn)

L

L1 (class in cascade.nn) Latent (class in cascade.nn) Likelihood (class in cascade.nn) load() (cascade.model.CASCADE class method) (cascade.nn.IntervDesign class method)

log_prior() (cascade.nn.Likelihood method) (cascade.nn.NegBin method) (cascade.nn.Normal method) LogAdj (class in cascade.core) LogDet (class in cascade.nn) loss() (cascade.nn.IntervDesign method)

M

make_k() (cascade.nn.Scaffold static method) map_edges() (in module cascade.graph) marginalize() (in module cascade.graph) mask_data() (cascade.nn.Scaffold method) mean (cascade.core.LogAdj attribute) mean_squared_error() (in module cascade.nn) MissingDependencyError ModelCheckpoint (class in cascade.core) module cascade cascade.core cascade.data cascade.graph cascade.metrics cascade.model cascade.nn cascade.plot cascade.sim cascade.typing cascade.utils

Module (class in cascade.nn) ModuleList (class in cascade.nn) motion_pictures() (in module cascade.plot) multi_rbf() (in module cascade.nn) multi_trace() (in module cascade.nn) MultiLinear (class in cascade.nn) multiplex() (in module cascade.graph) multiplex_num() (in module cascade.graph) mv() (cascade.nn.SpecNorm static method)

N

NegBin (class in cascade.nn) neighbor_impute() (in module cascade.data) NilLatent (class in cascade.nn)

node_stats() (in module cascade.graph) none (cascade.core.LogAdj attribute) Normal (class in cascade.nn) normalize_edges() (cascade.nn.GCNLatent method)

O

on_validation_end() (cascade.core.DiscoverScheduler method)

optimal_cutoff() (in module cascade.metrics)

P

pair_grid() (in module cascade.plot) PairedDataModule (class in cascade.data) PairedDataset (class in cascade.data) partial_correlation() (in module cascade.utils) particles (cascade.core.LogAdj attribute) pearson_correlation() (in module cascade.utils) plot_adj() (in module cascade.plot) plot_adj_confusion() (in module cascade.plot) plot_colored_curves() (in module cascade.plot) plot_design_error_curve() (in module cascade.plot)

plot_design_scores() (in module cascade.plot) power_iteration() (cascade.nn.SpecNorm method) predict_step() (cascade.core.CausalNetwork method) PredictionWriter (class in cascade.core) PredictMode (class in cascade.core) prep_cytoscape() (in module cascade.graph) Prior (class in cascade.nn) prior() (cascade.nn.Latent method) prune() (cascade.core.CausalNetwork method) (cascade.nn.Edgewise method) (cascade.nn.Scaffold method)

R

RBF (class in cascade.nn) recon (cascade.core.PredictMode attribute) regular_params() (cascade.nn.Module method)

reset_parameters() (cascade.core.CausalNetwork method) reset_properties() (cascade.core.CausalNetwork method) rsample() (cascade.nn.IntervDesign method)

S

save() (cascade.model.CASCADE method) (cascade.nn.IntervDesign method) Scaffold (class in cascade.nn) ScaleFree (class in cascade.nn) set_design() (cascade.core.CausalNetwork method) set_empirical() (cascade.nn.Likelihood method) (cascade.nn.NegBin method) (cascade.nn.Normal method) set_figure_params() (in module cascade.plot) sf (cascade.sim.DAGType attribute)

simple_design() (in module cascade.data) SimpleDataModule (class in cascade.data) SimpleDataset (class in cascade.data) simplex2regime() (cascade.nn.IntervDesign method) simulate_counterfactual() (in module cascade.sim) simulate_random_regimes() (in module cascade.sim) simulate_regimes() (in module cascade.sim) SparsePrior (class in cascade.nn) spearman_correlation() (in module cascade.utils) SpecNorm (class in cascade.nn) str_to_bool() (in module cascade.utils)

T

Targets (class in cascade.data) tone() (cascade.nn.Likelihood method) (cascade.nn.NegBin method) (cascade.nn.Normal method)

topo_gens() (cascade.nn.Scaffold method) training_step() (cascade.core.CausalNetwork method) TrExp (class in cascade.nn) tune (cascade.core.FitStage attribute) tune() (cascade.model.CASCADE method)

U

unfreeze_params() (cascade.nn.Module method)

unif (cascade.sim.DAGType attribute) upgrade_saved_model() (in module cascade.model)

V

validation_step() (cascade.core.CausalNetwork method)

variance() (in module cascade.utils) vertex_degrees() (cascade.nn.GCNLatent method)

Z

zero_grad() (cascade.nn.Scaffold method)