Apr-01-2019, 12:36 PM
I say chaps,
I have an experiment controlled by 6 parameters, hooked up to a Raspberry Pi. I want to run a loop: set parameters, do experiment, get result, estimate better parameters based on previous history, do experiment.......
How can I do this in Python? I've trawled the Web but the optimise routines seem to presume some equation to find the maximum of, or some purely mathematical situation, not a physical contrivance. I obviously haven't found the optimum Google search terms!
I could optimise the parameters two at a time, first coarse tune , then fine tune then finer tune.
Suggestions pointing to some bit of code already out there would be most welcome.
TTFN
rickticktock
I have an experiment controlled by 6 parameters, hooked up to a Raspberry Pi. I want to run a loop: set parameters, do experiment, get result, estimate better parameters based on previous history, do experiment.......
How can I do this in Python? I've trawled the Web but the optimise routines seem to presume some equation to find the maximum of, or some purely mathematical situation, not a physical contrivance. I obviously haven't found the optimum Google search terms!
I could optimise the parameters two at a time, first coarse tune , then fine tune then finer tune.
Suggestions pointing to some bit of code already out there would be most welcome.
TTFN
rickticktock