legothief

Hi! I'm also here (other co-founder of the company/project), we'd love to understand if this is a problem only we encountered - or others also need to keep track of their simulated model performance over time!

Mark here, happy to answer any questions or provide more info about fold!:)

We'll be working on the pytorch integration soon! `Fold`'s scope is time series, but there's nothing stopping you from sending in vector embeddings of any kind, timestamped.

Figuring out how to create those embeddings (that make sense over time) can mean quite a bit of research work, and requires flexibility, so it's probably better done outside of the time series library, with the tools of your choice.

Mark here (other co-founder), we're really curious if you are using Time Series Cross-Validation, with what tools, how frequently, and what kind of issues did you bump into!

Really nice, I haven't heard of pygraphistry, looks like something that would have made our lives a lot easier!

Thank you for pointing that out, we've corrected that in the article!

In my mind, GNNs are designed to solve graph problems, in the usual case, with message passing, that enables (I'd emphasise the aggregation step) to "do ML on graphs".