ModelingToolkit/ ODESystem in Turing

[cryptic.ax]

Indentify parameters in an ODEProblem

Indeed, I was following that page already. But I got a totally lost with all the different options available to modify ODE problems. Apologies, I modified the code while you were typing a reply, i hope you caught that? I implemented it like this: # ordered symbols syms = [sys.lC_i, sys.lC_e, sys.lC_h, sys.lR_ie, sys.lR_ea, sys.lR_ih, sys.lA_w, sys.lA_e] @model function LGDS(x::AbstractArray, prob, params::Dict, t_int) # cache for remake(prob, p=newp) lbc = GeneralLazyBufferCache…

This is that discourse post. The method at the end is what you should use. Feel free to ask if anything is not clear.

EDIT: They’re using Turing.jl too, so it should map 1-1 with your use case.