Hi all,
I am trying to predict unseen data with a simple logistic regression model, so similar to a simple machine learning classification.
I have build and trained a model with numpyro on a dataset and now I want to predict the unseen data. The model is working and I can make inferences based on the posterior etc. But I cannot figure out how to predict the new data.
I assume I missed something simple in the documentation/examples but any hints or pointers would be great appreciated.
Thanks in advanced.