classmethod CondSCVI.load(dir_path, adata=None, use_gpu=None)

Instantiate a model from the saved output.

dir_path : strstr

Path to saved outputs.

adata : AnnData | NoneOptional[AnnData] (default: None)

AnnData organized in the same way as data used to train model. It is not necessary to run setup_anndata(), as AnnData is validated against the saved scvi setup dictionary. If None, will check for and load anndata saved with the model.

use_gpu : str | int | bool | NoneUnion[str, int, bool, None] (default: None)

Load model on default GPU if available (if None or True), or index of GPU to use (if int), or name of GPU (if str), or use CPU (if False).


Model with loaded state dictionaries.


>>> vae = SCVI.load(save_path, adata)
>>> vae.get_latent_representation()