Hi , I wonder to know Deep Markov model tutorial use for loop to implement , but HMM tutorial use pyro.markov . Both of implement are same markov independent ? Thanks !
You’re correct that the models have the same conditional independence structure. However, the information about a model conveyed by pyro.markov
is only used by inference algorithms that use Pyro’s enumeration machinery, namely variational inference with TraceEnum_ELBO
and MCMC with HMC
. Since the DMM example does not use one of those algorithms, using pyro.markov
in it is unnecessary.
1 Like
Thanks a lot !!!