scvi.nn.MultiEncoder

class scvi.nn.MultiEncoder(n_heads, n_input_list, n_output, n_hidden=128, n_layers_individual=1, n_layers_shared=2, n_cat_list=None, distribution='normal', dropout_rate=0.1, return_dist=False, **kwargs)

Bases: Module

MultiEncoder.

Attributes table

training

Methods table

forward(x, head_id, *cat_list)

Forward pass.

Attributes

MultiEncoder.training: bool

Methods

MultiEncoder.forward(x, head_id, *cat_list)

Forward pass.