You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Right now in pymc the sample method on Approximation store the model that was used for training. This makes it harder to use variational inference with the posterior predictive sampling and other parts of the Bayesian workflow.
It would be nice if modelcontext was used here instead.
Also, it's probably time to just generate the InferenceData object directly
The text was updated successfully, but these errors were encountered:
Uh oh!
There was an error while loading. Please reload this page.
Context for the issue:
Right now in pymc the sample method on
Approximation
store the model that was used for training. This makes it harder to use variational inference with the posterior predictive sampling and other parts of the Bayesian workflow.It would be nice if
modelcontext
was used here instead.Also, it's probably time to just generate the
InferenceData
object directlyThe text was updated successfully, but these errors were encountered: