JuliusMartensen
JuliusMartensen
Thanks! That would be awesome!
@KKahirman Thanks! I'll adapt some things and merge prepare a PR. @ChrisRackauckas @finmod I think about pulling GalaticOptim or DiffEqFlux in for the optimization process. Additionally, maybe DiffEqSensitivity offers more...
The output of the equations is expected, but I think I'll change this in an upcoming patch . The `DataDrivenSolution` just shows some error measurements of the whole result vs....
This is related to the backup file and can be passed into the [Options](https://astroautomata.com/SymbolicRegression.jl/stable/api/#Options) of SymbolicRegression. I am tagging @MilesCranmer here, since he might have some more insight on how...
Hi Miles! Thanks for getting involved. No worries, I have been on vacation as well. > `hof` is then an array (one hall of fame for each of the two...
I've fixed the recovery of the results within DataDriven.
Hi! Thanks for your interest and welcome! This is a difficult question that has no answer in the sense of a programmable approach but relies heavily on heuristics. If you...
Since we are using a general linear model in SINDy, you would have to provide something which adds up to the true term. If you would include a control signal...
Ah nice. So this would get rid of the current literate.jl pipeline to construct the doctests?
You probably want to load the csv file using DataFrames.jl and CSV.jl, select the corresponding columns ( for states, timestamps and control signal ) and pass them into the DataDrivenProblem....