On 02/25/2010 11:39 PM, Jacob Hallén wrote: > Thursday 25 February 2010 you wrote: >> Hi Carl, >> >> error bars are certainly doable and supported by the plot lib. The >> only problem is that my backend model doesn't include such a field, so >> at the moment the data (which is certainly included in the json files) >> is not being saved. I will need to change the DB models in order to >> acomodate that kind of information. >> >> I'll add this to the wish list.
Great, thanks. > How do you actually determine the error? Multiple runs or sliding average of > historic data? We use the Unladen Swallow benchmark runner, which runs each benchmark multiple times and computes the standard deviation. I then computes a 95% confidence interval using, I think, Student's T distribution. Cheers, Carl Friedrich _______________________________________________ [email protected] http://codespeak.net/mailman/listinfo/pypy-dev
