Marius Almanstötter comments

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                                            Marius Almanstötter

Maxiters not respected

PolyOpt and BFGS. If i just set maxiters to 5 they produce more than 5 iterations in my case

Maxiters not respected

Alright, so which package would you then recommend instead?

Maxiters not respected

Also would you prefer DiffEqParamEstim over Optimization.jl for parameter estimation with ODEs?

Skip parameters that lead to errors

Thanks for the fast response! I see... Is it possible to return somehow Nans instead of skipping. Or would you suggest something else? I basically want to explore the Parameter...

Derivative of output neurons wrt to input neurons in loss

Thank you so much for the response! I think it is atm only the derivative. So how would that Look then with ForwardDiff? How can i pass the explicit input...

getting "Only homogeneous arrays are allowed" error for Vector{SVector}

Did you resolve it? I have the same problem with Sparse arrays

getting "Only homogeneous arrays are allowed" error for Vector{SVector}

Thanks for your response. Which alternative did you use?

Using Bayesian Inference for noise free Likelihood

Interesting, thank you very much for the link, I will try to have look at it. Using the Dirac DElta function as Likelihood would not work right?

[Question] About the derivitive mode. How I pass the derivative to the optimizer if I write the objective function with a autodifferentiation code?

I have the same problem

I have implemented sth like the code below. But it doesn't seem to work: ``` def optimize_batch(initial_guesses, compute_mse): def single_optimization(initial_guess): solver = optx.BFGS(rtol=1e-5, atol=1e-5) try: solver = optx.BFGS(rtol=1e-5, atol=1e-5) sol...