Commit 3659d965 authored by lucas_miranda's avatar lucas_miranda
Browse files

Fixed issue with gmvaep when returning both prior and posterior

parent 8c2a744a
......@@ -191,9 +191,3 @@ class SEQ_2_SEQ_GMVAE(HyperModel):
).build(self.input_shape)[-3]
return gmvaep
# TODO:
# - We can add as many parameters as we want to the hypermodel!
# with this implementation, predictor, warmup, loss and even number of components can be tuned using BayOpt
# - Number of dense layers close to the latent space as a hyperparameter (!)
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