scvi.nn.MultiDecoder

scvi.nn.MultiDecoder#

class scvi.nn.MultiDecoder(n_input, n_output, n_hidden_conditioned=32, n_hidden_shared=128, n_layers_conditioned=1, n_layers_shared=1, n_cat_list=None, dropout_rate=0.2, **kwargs)[source]#

Bases: Module

MultiDecoder.

Attributes table#

training

Methods table#

forward(z, dataset_id, library, dispersion, ...)

Forward pass.

Attributes#

MultiDecoder.training: bool#

Methods#

MultiDecoder.forward(z, dataset_id, library, dispersion, *cat_list)[source]#: Forward pass.