Options.npopulations = nothing, does not detect number of cores about symbolicregression.jl HOT 2 CLOSED

So, npopulations=nothing will trigger npopulations=nworkers() as expected. Note that -t 5 creates 5 threads, whereas -p 5 creates 5 processes. The latter is what will produce the correct number of populations.

However, if you are manually creating processes like that, you will need to declare everything with Distributed.@everywhere, since SymbolicRegression.jl won't set it up automatically then.

So this may be a mistake on my part, because when getting SR to set up the processes with numprocs, it is not correcting the number of populations. This is also problematic since you can pass multithreading=True to EquationSearch, in which case the number of populations should match the threads rather than the workers... will see what I can do. I note that Options is immutable, so it would probably need to be re-created after calling EquationSearch, which might introduce other issues...

Maybe the easiest solution is to just fix the number of populations to 20 or 40, as done in PySR, since that makes pipelines more reproducible!

from symbolicregression.jl.

Oh right, thank you for the answer.

Yeah I found a bit confusing the distributed-options logic, but that could definitely be just me since I'm clearly not very familiar yet with how parallel things can be handled on Julia. Glad to at least have nudged you to think about that loophole.

Thanks again!

from symbolicregression.jl.