I totally forgot to mention it before the sprint started but i'd like to
have a discussion about the integration of a new benchmark suite into
the scikit-learn organization.
Essentially, I've been working on a benchmark suite for sklearn using
the airspeed velocity (asv) framework. The purpose of asv is to
benchmark a repo across commits. It can be used for instance to detect
regressions, performance wise and memory wise.
If you want to discuss it, let me know. I'm here the whole week.
Jérémie
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