Index A | B | C | D | E | F | G | H | M | N | O | P | R | S | T | V A adj_product_spaces() (in module nlgm.searchspace) B BasicManifold (class in nlgm.manifolds) C compute_weight() (in module nlgm.searchspace) construct_graph_search_space() (in module nlgm.searchspace) D Decoder (class in nlgm.autoencoder) distance() (nlgm.manifolds.BasicManifold method) (nlgm.manifolds.EuclideanManifold method) (nlgm.manifolds.HyperbolicManifold method) (nlgm.manifolds.ProductManifold method) (nlgm.manifolds.SphericalManifold method) E Encoder (class in nlgm.autoencoder) EuclideanManifold (class in nlgm.manifolds) exponential_map() (nlgm.manifolds.BasicManifold method) (nlgm.manifolds.EuclideanManifold method) (nlgm.manifolds.HyperbolicManifold method) (nlgm.manifolds.ProductManifold method) (nlgm.manifolds.SphericalManifold method) F forward() (nlgm.autoencoder.Decoder method) (nlgm.autoencoder.Encoder method) (nlgm.autoencoder.GeometricAutoencoder method) G GeometricAutoencoder (class in nlgm.autoencoder) get_color() (in module nlgm.searchspace) H HyperbolicManifold (class in nlgm.manifolds) M manifold_to_curvature() (in module nlgm.searchspace) manifold_type() (in module nlgm.searchspace) module nlgm.autoencoder nlgm.manifolds nlgm.optimizers nlgm.searchspace nlgm.train nlgm.visualize N nlgm.autoencoder module nlgm.manifolds module nlgm.optimizers module nlgm.searchspace module nlgm.train module nlgm.visualize module normalize_graph() (nlgm.optimizers.RandomWalkOptimizer method) O optimize() (nlgm.optimizers.RandomWalkOptimizer method) optimize_with_backtracking() (nlgm.optimizers.RandomWalkOptimizer method) P ProductManifold (class in nlgm.manifolds) R RandomWalkOptimizer (class in nlgm.optimizers) S SphericalManifold (class in nlgm.manifolds) T train_and_evaluate() (in module nlgm.train) V visualize_loss_trajectories() (in module nlgm.visualize) visualize_optimization_trajectory() (in module nlgm.visualize) visualize_validation_metrics() (in module nlgm.visualize)