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Hi 👋 ! I am very interested in the glm module of PyMC3, specially using it for prediction problems. There is an active thread about this topic: “Out of sample” predictions with the GLM sub-module. I wrote a small post summarising the potential solutions : https://juanitorduz.github.io/glm_pymc3/ Is this something you would be interested in having on the examples? If so, is it ok as it is now or do you want me to reduce it a just focus on the out-of-sample section. I am happy to contribute to the documentation 🚀 .