This code works OK using DifferentialEquations, DiffEqFlux, GalacticOptim function lotka_volterra!(du, u, p, t) x, y = u α, β, δ, γ = p du[1] = α*x - β*x*y du[2] = -δ*y + γ*x*y end u0 = [1.0, 1.0] tspan = (0.0, 10.0) tsteps = 0.0:0.1:10.0 p = [1.5, 1.0, 3.0, 1.0] prob = ODEProblem(lotka_…

DiffEqFlux.sciml_train doesn't accept an adtype

ChrisRackauckas May 29, 2022, 1:35pm 2

It’s documented as a positional, not a keyword, argument.

result = DiffEqFlux.sciml_train(loss1, p, ADAM(0.1), GalacticOptim.AutoZygote())

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