Hey, I am creating custom lag transform using Numba. Currently I am excperiencing longer execution time. I want to time how long will my custom lag transform run using my data when training. Do you have any idea how should I do this?

maybe this is oo simple, but cant you just use some hard coded params and then the only thing different is your custom lag transforms? or you build a timer around the lag transform, but then i guess you would a sum for all the times the function was called?

I have tried similar processes, but Numba cannot read the

time

library when using

nopython

mode. If I were to use

object

mode, this would increase the execution time due to interpretation by python. Then what I am trying to measure are invalid.

can you just use process outside tuning / training and just put a time outside mlf.process(custom_lag_transform) so you can see how long it takes just to calculate it?

Oh, my bad for the misunderstand. I am putting that as my last resort since it would means making a new code. I am hoping if it's possible to modify the custom lag transform instead to prevent breaking changes.

mhh, then i dunno 🙂 too bad numba doesnt accept

time

Okay, thanks a lot for discussing with me and giving ideas 👍