Index A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | U | V | W | X | Y A AdditiveGraphModel (class in graphtoolbox.models.gnn) aggregate_ale_importance() (in module graphtoolbox.interpretability.diagnostics) Aggregation (class in graphtoolbox.aggregation.aggregation) ale_scalar_importance() (in module graphtoolbox.interpretability.explain) alpha (graphtoolbox.evaluation.significance.MCSResult attribute) animate_grouped_attention() (in module graphtoolbox.utils.attention) arimax_forecast() (in module graphtoolbox.models.baseline) arrow_max_edges (graphtoolbox.interpretability.explain.VisualizationConfig attribute) arrowsize (graphtoolbox.interpretability.explain.VisualizationConfig attribute) arrowstyle (graphtoolbox.interpretability.explain.VisualizationConfig attribute) attention_to_dense() (in module graphtoolbox.utils.attention) B basemap (graphtoolbox.interpretability.explain.VisualizationConfig attribute) batch_x_to_tensor() (in module graphtoolbox.utils.helper_functions) batch_y_to_tensor() (in module graphtoolbox.utils.helper_functions) best_loss (graphtoolbox.training.trainer.EarlyStopping attribute) better (graphtoolbox.evaluation.significance.DMResult attribute) bias (graphtoolbox.models.gnn.AdditiveGraphModel attribute) BIAS() (in module graphtoolbox.training.metrics) bootstrap_metric() (in module graphtoolbox.evaluation.significance) bootstrap_table() (in module graphtoolbox.evaluation.significance) BootstrapResult (class in graphtoolbox.evaluation.significance) build_adjacency_matrix() (in module graphtoolbox.utils.helper_functions) build_graph() (graphtoolbox.data.builder.GraphBuilder method) C change_cwd() (in module graphtoolbox.utils.helper_functions) chronos2_forecast() (in module graphtoolbox.models.baseline) chronos_bolt_forecast() (in module graphtoolbox.models.baseline) ci_high (graphtoolbox.evaluation.significance.BootstrapResult attribute) ci_low (graphtoolbox.evaluation.significance.BootstrapResult attribute) clean_dir() (in module graphtoolbox.utils.helper_functions) coefficients_ (graphtoolbox.aggregation.aggregation.Aggregation attribute) compute_ALE() (in module graphtoolbox.interpretability.explain) compute_ALE_avg_over_instants() (in module graphtoolbox.interpretability.explain) compute_ALE_per_node() (in module graphtoolbox.interpretability.explain) compute_ALE_per_node_avg_over_instants() (in module graphtoolbox.interpretability.explain) compute_attention_statistics() (in module graphtoolbox.utils.attention) compute_constraints_Diag() (graphtoolbox.utils.GL_3SR.FGL_3SR method) compute_edge_masks() (in module graphtoolbox.interpretability.diagnostics) compute_feature_importances_from_ALE() (in module graphtoolbox.interpretability.explain) connectionstyle (graphtoolbox.interpretability.explain.VisualizationConfig attribute) conv1 (graphtoolbox.models.gnn.VariationalGNNEncoder attribute) conv_logstd (graphtoolbox.models.gnn.VariationalGNNEncoder attribute) conv_mu (graphtoolbox.models.gnn.VariationalGNNEncoder attribute) ConvAdapter (class in graphtoolbox.models.gnn) ConvAdapterTemporal (class in graphtoolbox.models.temporal) cosine_similarity_matrix() (in module graphtoolbox.utils.attention) counter (graphtoolbox.training.trainer.EarlyStopping attribute) CovariateSeq2Seq (class in graphtoolbox.models.baseline) create_variable() (in module graphtoolbox.data.preprocessing) cv_crit (graphtoolbox.utils.GL_3SR.FGL_3SR attribute) D data (graphtoolbox.data.builder.GraphBuilder attribute) data_kwargs (graphtoolbox.data.dataset.DataClass attribute) DataClass (class in graphtoolbox.data.dataset) dataframe (graphtoolbox.data.builder.GraphBuilder attribute) (graphtoolbox.data.dataset.GraphDataset attribute) date_freq (graphtoolbox.interpretability.explain.VisualizationConfig attribute) df_pos (graphtoolbox.data.builder.GraphBuilder attribute) df_test_original (graphtoolbox.data.dataset.DataClass attribute) df_train_original (graphtoolbox.data.dataset.DataClass attribute) diebold_mariano() (in module graphtoolbox.evaluation.significance) DMResult (class in graphtoolbox.evaluation.significance) draw_coastlines (graphtoolbox.interpretability.explain.VisualizationConfig attribute) draw_countries (graphtoolbox.interpretability.explain.VisualizationConfig attribute) dummies (graphtoolbox.data.dataset.DataClass attribute) dump_attention_batches() (in module graphtoolbox.interpretability.diagnostics) E early_stop (graphtoolbox.training.trainer.EarlyStopping attribute) EarlyStopping (class in graphtoolbox.training.trainer) edge_alpha (graphtoolbox.interpretability.explain.VisualizationConfig attribute) edge_arrows (graphtoolbox.interpretability.explain.VisualizationConfig attribute) edge_cmap (graphtoolbox.interpretability.explain.VisualizationConfig attribute) edge_cmap_std (graphtoolbox.interpretability.explain.VisualizationConfig attribute) edge_index (graphtoolbox.data.dataset.GraphDataset attribute) edge_weight (graphtoolbox.data.dataset.GraphDataset attribute) edge_width_max (graphtoolbox.interpretability.explain.VisualizationConfig attribute) edge_width_min (graphtoolbox.interpretability.explain.VisualizationConfig attribute) eliminated_order (graphtoolbox.evaluation.significance.MCSResult attribute) encoders (graphtoolbox.models.gnn.AdditiveGraphModel attribute) evaluate() (graphtoolbox.training.trainer.Trainer method) experts_loss_ (graphtoolbox.aggregation.aggregation.Aggregation attribute) explainer_reproducibility() (in module graphtoolbox.interpretability.diagnostics) extract_dataframe() (in module graphtoolbox.data.preprocessing) extract_dummies() (in module graphtoolbox.data.preprocessing) extract_parameters() (in module graphtoolbox.utils.helper_functions) F f_obj() (graphtoolbox.utils.GL_3SR.FGL_3SR method) (in module graphtoolbox.utils.GL_3SR) feature_groups (graphtoolbox.data.dataset.GraphDataset attribute) features_base (graphtoolbox.data.dataset.GraphDataset attribute) features_to_lag (graphtoolbox.data.dataset.DataClass attribute) FGL_3SR (class in graphtoolbox.utils.GL_3SR) file_ext (graphtoolbox.interpretability.explain.VisualizationConfig attribute) fillcontinents_color (graphtoolbox.interpretability.explain.VisualizationConfig attribute) fit() (graphtoolbox.aggregation.aggregation.Aggregation method) (graphtoolbox.utils.GL_3SR.FGL_3SR method) fit_tabular_baseline() (in module graphtoolbox.models.baseline) folder_config (graphtoolbox.data.builder.GraphBuilder attribute) (graphtoolbox.data.dataset.DataClass attribute) fontsize (graphtoolbox.interpretability.explain.VisualizationConfig attribute) forward() (graphtoolbox.interpretability.diagnostics.RegressionExplanationWrapper method) (graphtoolbox.models.baseline.CovariateSeq2Seq method) (graphtoolbox.models.gnn.AdditiveGraphModel method) (graphtoolbox.models.gnn.ConvAdapter method) (graphtoolbox.models.gnn.GatedMultiConvGNN method) (graphtoolbox.models.gnn.GCNEncoder method) (graphtoolbox.models.gnn.myGNN method) (graphtoolbox.models.gnn.VariationalGNNEncoder method) (graphtoolbox.models.temporal.ConvAdapterTemporal method) (graphtoolbox.models.temporal.TemporalGNN method) from_features() (graphtoolbox.models.temporal.TemporalGNN class method) G gam_forecast_by_slot() (in module graphtoolbox.models.baseline) gamma (graphtoolbox.utils.GL_3SR.FGL_3SR attribute) GatedMultiConvGNN (class in graphtoolbox.models.gnn) GCNEncoder (class in graphtoolbox.models.gnn) get_coeffs() (graphtoolbox.utils.GL_3SR.FGL_3SR method) get_exponential_similarity() (in module graphtoolbox.utils.helper_functions) get_geodesic_distance() (in module graphtoolbox.utils.helper_functions) get_group_feature_mats() (in module graphtoolbox.interpretability.explain) get_X_complete_graph() (in module graphtoolbox.utils.GL_3SR) gnn_branch (graphtoolbox.models.gnn.AdditiveGraphModel attribute) grad_f_X() (graphtoolbox.utils.GL_3SR.FGL_3SR method) graph_dataset_test (graphtoolbox.data.builder.GraphBuilder attribute) graph_dataset_train (graphtoolbox.data.builder.GraphBuilder attribute) graph_dataset_val (graphtoolbox.data.builder.GraphBuilder attribute) GraphBuilder (class in graphtoolbox.data.builder) GraphDataset (class in graphtoolbox.data.dataset) graphtoolbox module graphtoolbox.aggregation module graphtoolbox.aggregation.aggregation module graphtoolbox.data module graphtoolbox.data.builder module graphtoolbox.data.dataset module graphtoolbox.data.preprocessing module graphtoolbox.evaluation module graphtoolbox.evaluation.significance module graphtoolbox.interpretability module graphtoolbox.interpretability.diagnostics module graphtoolbox.interpretability.explain module graphtoolbox.models module graphtoolbox.models.baseline module graphtoolbox.models.gnn module graphtoolbox.models.temporal module graphtoolbox.optim module graphtoolbox.optim.optimizer module graphtoolbox.training module graphtoolbox.training.metrics module graphtoolbox.training.trainer module graphtoolbox.utils module graphtoolbox.utils.attention module graphtoolbox.utils.GL_3SR module graphtoolbox.utils.helper_functions module graphtoolbox.utils.visualizations module group_index_map (graphtoolbox.models.gnn.AdditiveGraphModel attribute) group_names (graphtoolbox.models.gnn.AdditiveGraphModel attribute) grouping (graphtoolbox.interpretability.explain.VisualizationConfig attribute) H H0 (graphtoolbox.utils.GL_3SR.FGL_3SR attribute) hierarchical_attention_fusion() (in module graphtoolbox.utils.attention) horizon (graphtoolbox.evaluation.significance.DMResult attribute) I included (graphtoolbox.evaluation.significance.MCSResult attribute) is_optimized (graphtoolbox.optim.optimizer.Optimizer attribute) is_trained (graphtoolbox.training.trainer.Trainer attribute) L label_color (graphtoolbox.interpretability.explain.VisualizationConfig attribute) label_fontsize (graphtoolbox.interpretability.explain.VisualizationConfig attribute) labelsize (graphtoolbox.interpretability.explain.VisualizationConfig attribute) lag_sequence_indices() (in module graphtoolbox.models.temporal) lat_col (graphtoolbox.interpretability.explain.VisualizationConfig attribute) lbd (graphtoolbox.utils.GL_3SR.FGL_3SR attribute) learning_rate_ (graphtoolbox.aggregation.aggregation.Aggregation attribute) level (graphtoolbox.evaluation.significance.BootstrapResult attribute) load_attention_batches() (in module graphtoolbox.interpretability.diagnostics) (in module graphtoolbox.utils.attention) load_config() (in module graphtoolbox.utils.helper_functions) load_graph (graphtoolbox.data.builder.GraphBuilder attribute) load_kwargs() (in module graphtoolbox.utils.helper_functions) load_signal (graphtoolbox.data.builder.GraphBuilder attribute) logger (graphtoolbox.optim.optimizer.Optimizer attribute) lon_col (graphtoolbox.interpretability.explain.VisualizationConfig attribute) loss_ (graphtoolbox.aggregation.aggregation.Aggregation attribute) lstm_forecast() (in module graphtoolbox.models.baseline) M MAE() (in module graphtoolbox.training.metrics) make_edge_explainer() (in module graphtoolbox.interpretability.diagnostics) map_projection (graphtoolbox.interpretability.explain.VisualizationConfig attribute) map_resolution (graphtoolbox.interpretability.explain.VisualizationConfig attribute) mapboundary_color (graphtoolbox.interpretability.explain.VisualizationConfig attribute) mape() (in module graphtoolbox.models.baseline) MAPE() (in module graphtoolbox.training.metrics) MCSResult (class in graphtoolbox.evaluation.significance) mean_loss_diff (graphtoolbox.evaluation.significance.DMResult attribute) metric (graphtoolbox.evaluation.significance.BootstrapResult attribute) model_confidence_set() (in module graphtoolbox.evaluation.significance) model_vgae (graphtoolbox.data.builder.GraphBuilder attribute) module graphtoolbox graphtoolbox.aggregation graphtoolbox.aggregation.aggregation graphtoolbox.data graphtoolbox.data.builder graphtoolbox.data.dataset graphtoolbox.data.preprocessing graphtoolbox.evaluation graphtoolbox.evaluation.significance graphtoolbox.interpretability graphtoolbox.interpretability.diagnostics graphtoolbox.interpretability.explain graphtoolbox.models graphtoolbox.models.baseline graphtoolbox.models.gnn graphtoolbox.models.temporal graphtoolbox.optim graphtoolbox.optim.optimizer graphtoolbox.training graphtoolbox.training.metrics graphtoolbox.training.trainer graphtoolbox.utils graphtoolbox.utils.attention graphtoolbox.utils.GL_3SR graphtoolbox.utils.helper_functions graphtoolbox.utils.visualizations myGNN (class in graphtoolbox.models.gnn) N n (graphtoolbox.evaluation.significance.DMResult attribute) name (graphtoolbox.interpretability.explain.VisualizationConfig attribute) NMAE() (in module graphtoolbox.training.metrics) node_alpha (graphtoolbox.interpretability.explain.VisualizationConfig attribute) node_color (graphtoolbox.interpretability.explain.VisualizationConfig attribute) node_id_col (graphtoolbox.interpretability.explain.VisualizationConfig attribute) node_size (graphtoolbox.interpretability.explain.VisualizationConfig attribute) node_var (graphtoolbox.data.dataset.DataClass attribute) nodes (graphtoolbox.data.dataset.DataClass attribute) (graphtoolbox.training.trainer.Trainer attribute) normalize_with_edge_weight (graphtoolbox.interpretability.explain.VisualizationConfig attribute) normalized_laplacian() (in module graphtoolbox.utils.attention) num_groups (graphtoolbox.models.gnn.AdditiveGraphModel attribute) num_node_features (graphtoolbox.data.dataset.GraphDataset attribute) num_nodes (graphtoolbox.data.dataset.GraphDataset attribute) (graphtoolbox.training.trainer.Trainer attribute) O optimize() (graphtoolbox.optim.optimizer.Optimizer method) Optimizer (class in graphtoolbox.optim.optimizer) output_root (graphtoolbox.interpretability.explain.VisualizationConfig attribute) P pairwise_dm() (in module graphtoolbox.evaluation.significance) parser_config() (in module graphtoolbox.utils.helper_functions) partial_fit() (graphtoolbox.aggregation.aggregation.Aggregation method) pca_analysis_attention() (in module graphtoolbox.utils.attention) pca_global_mean() (in module graphtoolbox.utils.attention) pca_per_head() (in module graphtoolbox.utils.attention) plot_ALE() (in module graphtoolbox.interpretability.explain) plot_ALE_avg() (in module graphtoolbox.interpretability.explain) plot_ale_group_importance() (in module graphtoolbox.interpretability.diagnostics) plot_ALE_nodes() (in module graphtoolbox.interpretability.explain) plot_all_graph_maps() (in module graphtoolbox.utils.visualizations) plot_attention_statistics() (in module graphtoolbox.utils.attention) plot_components() (in module graphtoolbox.utils.attention) plot_explained_variance() (in module graphtoolbox.utils.attention) plot_explanation_graph() (in module graphtoolbox.interpretability.explain) plot_feature_importance_bar() (in module graphtoolbox.interpretability.explain) plot_graph_map() (in module graphtoolbox.utils.visualizations) plot_losses() (in module graphtoolbox.utils.visualizations) plot_node_errors_map() (in module graphtoolbox.utils.visualizations) plot_nodes() (in module graphtoolbox.utils.visualizations) plot_spectral_gap() (in module graphtoolbox.utils.attention) point (graphtoolbox.evaluation.significance.BootstrapResult attribute) pos_df (graphtoolbox.interpretability.explain.VisualizationConfig attribute) positions (graphtoolbox.interpretability.explain.VisualizationConfig attribute) predict() (graphtoolbox.aggregation.aggregation.Aggregation method) prediction_ (graphtoolbox.aggregation.aggregation.Aggregation attribute) prepare_constraints() (graphtoolbox.utils.GL_3SR.FGL_3SR method) prepare_fit() (graphtoolbox.utils.GL_3SR.FGL_3SR method) pvalue (graphtoolbox.evaluation.significance.DMResult attribute) pvalues (graphtoolbox.evaluation.significance.MCSResult attribute) pyg_data (graphtoolbox.data.dataset.GraphDataset attribute) R reduce_method (graphtoolbox.data.builder.GraphBuilder attribute) reduce_signal() (graphtoolbox.data.builder.GraphBuilder method) RegressionExplanationWrapper (class in graphtoolbox.interpretability.diagnostics) reset() (graphtoolbox.aggregation.aggregation.Aggregation method) rmse() (in module graphtoolbox.models.baseline) RMSE() (in module graphtoolbox.training.metrics) RollingTrainer (class in graphtoolbox.training.trainer) run() (graphtoolbox.aggregation.aggregation.Aggregation method) (graphtoolbox.training.trainer.RollingTrainer method) run_on_server() (graphtoolbox.optim.optimizer.Optimizer method) S samples (graphtoolbox.evaluation.significance.BootstrapResult attribute) save_config() (in module graphtoolbox.utils.helper_functions) save_dpi (graphtoolbox.interpretability.explain.VisualizationConfig attribute) saving_directory (graphtoolbox.training.trainer.Trainer attribute) se (graphtoolbox.evaluation.significance.BootstrapResult attribute) set_device() (in module graphtoolbox.training.trainer) show_labels (graphtoolbox.interpretability.explain.VisualizationConfig attribute) show_nodes (graphtoolbox.interpretability.explain.VisualizationConfig attribute) smape() (in module graphtoolbox.models.baseline) solve_H0_closedform() (graphtoolbox.utils.GL_3SR.FGL_3SR method) solve_H0_closedform_K() (graphtoolbox.utils.GL_3SR.FGL_3SR method) solve_H1_closedform() (graphtoolbox.utils.GL_3SR.FGL_3SR method) solve_lbd() (graphtoolbox.utils.GL_3SR.FGL_3SR method) solve_X_relaxation() (graphtoolbox.utils.GL_3SR.FGL_3SR method) spectral_embedding() (in module graphtoolbox.utils.attention) spectral_fusion() (in module graphtoolbox.utils.attention) start_date_key (graphtoolbox.interpretability.explain.VisualizationConfig attribute) statistic (graphtoolbox.evaluation.significance.DMResult attribute) storage (graphtoolbox.optim.optimizer.Optimizer attribute) streaming_weights_ (graphtoolbox.aggregation.aggregation.Aggregation property) study (graphtoolbox.optim.optimizer.Optimizer attribute) sub_df() (in module graphtoolbox.data.preprocessing) subdir (graphtoolbox.interpretability.explain.VisualizationConfig attribute) summary() (graphtoolbox.aggregation.aggregation.Aggregation method) T target_base (graphtoolbox.data.dataset.GraphDataset attribute) TemporalGNN (class in graphtoolbox.models.temporal) topk_indices() (in module graphtoolbox.interpretability.diagnostics) trace (graphtoolbox.utils.GL_3SR.FGL_3SR attribute) train() (graphtoolbox.training.trainer.Trainer method) Trainer (class in graphtoolbox.training.trainer) U umap_analysis_attention() (in module graphtoolbox.utils.attention) update() (graphtoolbox.aggregation.aggregation.Aggregation method) update_config() (in module graphtoolbox.utils.helper_functions) V VariationalGNNEncoder (class in graphtoolbox.models.gnn) VisualizationConfig (class in graphtoolbox.interpretability.explain) W weights_ (graphtoolbox.aggregation.aggregation.Aggregation attribute) X X_scaled (graphtoolbox.data.dataset.GraphDataset attribute) xgboost_forecast() (in module graphtoolbox.models.baseline) Y Y_scaled (graphtoolbox.data.dataset.GraphDataset attribute)