Contents:

ProdLDA#

Module Contents#

Autoencoding Variational Inference For Topic Models. ICLR 2017

class ProdLDA(vocab_size, num_topics=50, en_units=200, dropout=0.4)#

Bases: torch.nn.Module

Autoencoding Variational Inference For Topic Models. ICLR 2017

Akash Srivastava, Charles Sutton.

get_beta()#

get_theta(x)#

reparameterize(mu, logvar)#

encode(x)#

decode(theta)#

forward(x)#

loss_function(x, recon_x, mu, logvar)#