Will Dean

I havent used much. Seems cool People could check out the notebooks then, right? Maybe we can link if someone wants to try them out Or is this mainly for...

This would be very useful Would this be posterior predictive sampling of the histogram distribution or the original distribution? Maybe it would be good to note in the docstring example...

Can you share your setup code? Are there any fits as well?

You're right. The delayed MMM class doesnt currently have support for different adstock functions. At the moment, you would have to inherit from the class and override the build_model method...

Hi @shuvayan Hope you were able to figure out a solution. FYI: We are working on a #632 where a user can specify the saturation function (as well as adstock)

Seems like a pretty cool idea! How do you expect users to work with it? It seems like the repo would have to be cloned to used. Seems like this...

> A proof of concept deployment can be found [here](https://pymc-marketing-7d3bi3ujwpouyymt8b2sbo.streamlit.app/Saturation). We can very easily redeploy it using a pymc-marketing email when/if the PR is approved :) Here is the link...

How feasible is it to deploy streamlit under the section of the current website? @twiecki Maybe under the same domain? i.e.`https://www.pymc-marketing.io/en/stable/...` Maybe something like the "About PyMC-Labs" would work as...

> Hey @wd60622 - it's a managed deployment by Streamlit, so super easy (but also slightly less control perhaps). Basically, you just need to specify a repo or a folder...

Sounds good. Sorry to reraise