This summer, I was granted the project called scikit-learn-speed,
consisting of developing a benchmarking platform for scikit-learn and
using it to find potential speedups, and in the end, make the library go
faster wherever I can.
On the official closing day of this work, I’d like to take a …
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.