Index A | C | D | G | H | I | L | M | P | R | S | T | V A adata (multigrate.model.MultiVAE attribute) adata_manager (multigrate.model.MultiVAE attribute) C call_super_init (multigrate.module.MultiVAETorch attribute) D device (multigrate.model.MultiVAE attribute) (multigrate.module.MultiVAETorch attribute) dump_patches (multigrate.module.MultiVAETorch attribute) G generative() (multigrate.module.MultiVAETorch method) get_model_output() (multigrate.model.MultiVAE method) get_normalized_function_name (multigrate.model.MultiVAE attribute) H history (multigrate.model.MultiVAE attribute) I impute() (multigrate.model.MultiVAE method) inference() (multigrate.module.MultiVAETorch method) is_trained (multigrate.model.MultiVAE attribute) L load_query_data() (multigrate.model.MultiVAE class method) loss() (multigrate.module.MultiVAETorch method) M module multigrate.model multigrate.module multigrate.model module multigrate.module module MultiVAE (class in multigrate.model) MultiVAETorch (class in multigrate.module) P plot_losses() (multigrate.model.MultiVAE method) R registry (multigrate.model.MultiVAE attribute) run_id (multigrate.model.MultiVAE attribute) run_name (multigrate.model.MultiVAE attribute) S select_losses_to_plot() (multigrate.module.MultiVAETorch method) setup_anndata() (multigrate.model.MultiVAE class method) summary_string (multigrate.model.MultiVAE attribute) T T_destination (multigrate.module.MultiVAETorch attribute) test_indices (multigrate.model.MultiVAE attribute) train() (multigrate.model.MultiVAE method) train_indices (multigrate.model.MultiVAE attribute) training (multigrate.module.MultiVAETorch attribute) V validation_indices (multigrate.model.MultiVAE attribute)