This post is about the scikit-learnbenchmarking project that I am
working on, called scikit-learn-speed. This is a continuous
benchmarking suite that runs and generates HTML reports using Wes
McKinney’s vbench framework, to which I had to make some (useful, I
hope) additions.
EDIT: I made the plots a little more readable, check it out!
Last time, I teased you with a screenshot of local output. Now, I will
tease you with the benchmarks run on a couple of recent commits, along
with some from earlier this year.
This was accomplished by building on what I described in my recent
posts, specifically the extensions to Fabian’s [memory_profiler][] that
you can find in my fork, but they will be merged upstream soon. The
key element is the %magic_memit function whose …