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  • Variational Inference for Dirichlet process clustering - Pyro . . .
    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 Inference I want to generalize this into a Chinese Restaurant Process involving an “infinite” number of states But for now, I am just generating 1-D data from 3 Gaussians with proportions given by a
  • How to get prediction scores with Pyro models?
    pyro sample("y", y_dist, obs=y) # or pyro factor("y_loss", y_loss_tensor) return I am not familiar enough with the details of your model to fix the code for you, but this is covered in detail in the tutorials I linked to, especially the Bayesian regression with SVI section of the Bayesian regression tutorial
  • Mini batching with Bayesian GPLVM - Pyro Discussion Forum
    Trying to define mini-batch logic for Bayesian GPLVM training but unsuccessful so far following the suggestions in this older thread: Pyro Bayesian GPLVM SVI with minibatching So the suggestion in this thread is to use: X_minibatch = pyro sample(…, dist Normal(x_loc[minibatch_indices], x_scale[minibatch_indices])) y_minibatch = y[minibatch_indices] self base_model set_data(X_minibatch, y
  • Bayesian CNN - Misc. - Pyro Discussion Forum
    Hi, I am new to pyro To try it I wanted to train a CNN module using bayesian inference using pyro Can Anyone help me to transform it to random_module pyro? The network is the following: class NetC (nn Module): …
  • How to begin learning probabilistic programming? - Pyro Discussion Forum
    Can anyone help me with some resources to learn probabilistic programming with pyro? I do not have any background on probabilistic programming I skimmed through the tutorials and examples in pyro ai but it seems they assume a background in probabilistic programming concepts
  • How to use to_event ()? - Pyro Discussion Forum
    How to know which 2 parameters are set to be dependent if I set to_event(2)?
  • Truncated Log normal distribution - Pyro Discussion Forum
    I saw that pyro is planning to add at least a truncated normal distribution soon However I want to implement a truncated normal distribution as prior for a sample param I came accross the rejector distribution and thought this could maybe provide a solution I tried the following: class TruncatedLogNormal(dist Rejector): def __init__(self, loc, scale_0, max_x0): propose = dist LogNormal(loc
  • Difference between Beta - Pyro Discussion Forum
    Hi! A bit of a beginner question here I’m working through some examples in Statistical Rethinking and I am having trouble understanding what is happening differently when using the BetaBinomial distribution directly vs parameterizing a Binomial distribution with a beta distribution The example is the admissions data with gender from chapter 12 (Mixture models) and the notebook I worked
  • LR scheduler usage - Pyro Discussion Forum
    svi = SVI(model, guide, pyro_scheduler, loss=TraceGraph_ELBO()) svi step(), which doesn’t show how to step the LR scheduler I assume the right thing to do is something like this? for e in range(n_epochs): pyro_scheduler(e) for mb in minibatches: svi step(mb) It would be very helpful to add a snippet clarifying this to the documentation





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