sfaira.train.TrainModelCelltype

class sfaira.train.TrainModelCelltype(model_path: str, data: Union[str, anndata._core.anndata.AnnData, sfaira.data.dataloaders.super_group.Universe, sfaira.data.store.stores.single.StoreSingleFeatureSpace], fn_target_universe: str)

Attributes

topology_dict
estimator

Methods

init_estim([override_hyperpar])
load_into_memory()	Loads backed objects from DistributedStoreBase into single adata object in memory in .data slot.
n_counts(idx)
save(fn[, model, specific])	Save weights and summary statistics.
save_eval(fn[, eval_weighted])