Machine learning is used in gerrit build

[Noel Grandin]

HI

My problem with this design assumes that the only thing we are optimising
for is reducing the load on the build servers.

But we are not a build-service organisation. Jenkins is a service that is
subordinate to the needs of developers.

And what developers need is feedback about which platforms their changes
are working or not working on.

Just recently I have to resume my builds 5 or 6 times to get past the ML
stage, only then to discover that I made a mistake that affected some other
platform, and then having to change things again, and restart the process.

I am really sorry you went to all this effort, but I do not think that this
ML plugin for jenkins is a good idea.

If I had known that this was in progress, I would have spoken up sooner.

If we need better jenkins throughput, TDF should just buy some more/better
hardware.

Regards, Noel Grandin
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