Apr 25, 2025 · with pyro.plate("data", x.size(0)): pyro.sample("obs", dist.Normal(mu, sigma), obs=y.squeeze(-1),infer={"scale": annealing_factor}) #obs，真实数据+噪声

Mar 14, 2025 · Hello again, Related post: Batch processing Pyro models so cc: @fonnesbeck as I think he’ll be interested in batch processing Bayesian models anyway. I want to run lots of …

Aug 14, 2025 · Forum For Pyro Developers

Sep 18, 2023 · pyro provides access to the pytorch schedulers, and the pyro ClippedAdam also has a specific learning rate decay parameter. I can not find anything of the sort in numpyro, …

Nov 1, 2024 · Hi, I’m working on a model where the likelihood follows a matrix normal distribution, X ~ MN_{n,p} (M, U, V). I’m using conjugate priors: M ~ MN U ~ Inverse Wishart V ~ Inverse …

Oct 15, 2023 · I am running NUTS/MCMC (on multiple CPU cores) for a quite large dataset (400k samples) for 4 chains x 2000 steps. mcmc.run actually ran until the end, but then died with an …

Oct 25, 2023 · Hi everyone, I am very new to Numpyro and hierarchical modeling. Recently I have been trying to build a hierarchical model where I have a hyper-prior (theta_group) which …

Mar 12, 2025 · i see. this would appear to be a bug/unsupported feature. if you like, you can make a feature request on github (please include a code snippet and stack trace). however, in the …

Jan 31, 2018 · Hi there! This is my first time using Pyro so I am very excited to see what I can built with it.🙂 Specifically, I am trying to do finite Dirichlet Process clustering with Variational …

Aug 18, 2022 · I’m building a really simple HMM with Gaussian emission. import pyro import pyro.distributions as dist from pyro import poutine from pyro.optim import Adam import torch …