from a first glance and a read through your roadmap, this does not feel suitable for people who know what they are doing with RL. It also does not feel suitable for people who don't know what they are doing with RL.

you should be more clear in your title because the two domains are very different

Also, where do you store the training data?

Re benchmarking - at this point we're looking to show directionality, not necessarily blinding speed. We intend to get the tooling feeling right, then work to optimize perf.

Right now, training data comes from the local disk, InfluxDB, or can be piped in from your application via our API. We're looking to build out a set of community-driven components for streaming and processing data. You can learn more about that here - https://github.com/spiceai/data-components-contrib

We'd love for you to contribute!

Also, how do you plan to verify that the algorithm works?

Note, that your customers would need to make critical business decisions based on this software, so I would refrain doing clean room impl of the forecasting algorithm.

https://github.com/spiceai/spiceai/blob/trunk/ai/src/algorit...