scglue.models.sc.BetaBinomialDataDecoder.forward

BetaBinomialDataDecoder.forward(u, v, b, l)

Decode data from sample and feature latent

Parameters:

• u (torch.Tensor) – Sample latent

• v (torch.Tensor) – Feature latent

• b (torch.Tensor) – Batch index

• l (typing.Optional[torch.Tensor]) – Optional normalizer

Return type:

scglue.models.prob.Beta

Returns:

recon – Data reconstruction distribution