JuliusMartensen
JuliusMartensen
It is registered as of this morning, but might take a while. Did you do ] registry update ?
Otherwise you could just use a direct DataDrivenProblem with a unit basis ( or without any basis and a sparse regression ). This will now create a basis with n...
You can just use the algorithm than or solve the problem without a basis using a direct problem with prob = DirectDataDrivenProblem(theta,DX).
On that note: Creating a problem from a DESolution without using the interpolation sometimes fails given that I attempt to call the fully specialised function.
Hey! Sorry for being Dormant. I think this might work out as a MWE ( and maybe in general, I have to test ). ```Julia using Revise using StochasticAD using...
Thanks for the answer! Awesome, I didn't know that 3. is already doable! I'll add you to a repo I've adjusted for DynamicExpressions yesterday, so maybe my intentions will be...
Hm, my test case was something like: ```Julia op = OperatorEnum(binary_operators = [-, *], unary_operators = [sin]) param = Node(; val = 3.0) feat = Node(; feature = 1) ex...
Just the overall error is stored in the result. But you can recompute all metrics using the result as a callable struct.
Is there any progress on this? I am running into a similar issue, where I use a solve call inside an objective function. In the long run, I want to...