Document symbolic regression separately from SINDY?

SciML / DataDrivenDiffEq.jl

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

https://docs.sciml.ai/DataDrivenDiffEq/stable/

MIT License

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Document symbolic regression separately from SINDY? #159

Open ChrisRackauckas opened 3 years ago

ChrisRackauckas commented 3 years ago

Symbolic regressions are generally useful, and I think a few people have gotten confused when it's fully lumped in with SINDy. I think it could be good to have a page and tutorial specifically on symbolic regression, then do SINDy shortly afterwards.

AlCap23 commented 3 years ago

I've been thinking about this for a while now and would like to see this (GP/SR) as part of DataDrivenDiffEq.

Either we reuse something already present, like ExprOptimization, and use MTK to convert things or we implement something new and minimal from scratch. Would definitely be a huge advantage.

AlCap23 commented 3 years ago

After looking into #160, if think we can implement FFX pretty fast.