ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at http://www.mlpack.org/irc/
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< rcurtin[m]1>
got my Samsung Chromebook Plus running Arch, so I added that to the Jenkins build nodes too, tagged linux-arm64
< zoq>
rcurtin[m]1: cool, if we continue the build farm is going back to it's old form :)
< rcurtin[m]1>
😃
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< turska79Gitter[m>
In ::Episode() its get called from behind for (size_t i = 0; i < config.UpdateInterval(); i++) Update();
< turska79Gitter[m>
Whats a rule of thumb for that interval? As i coudlnt figure it out with google because of my noobness with machine learning
< shrit[m]>
Juste to note it is still running and the file conusmed 10 percent of the SD card capacity in the RPI
< shrit[m]>
knowing that it is 32GB
< shrit[m]>
keep it running?
< zoq>
shrit[m]: It consumed all disk space already.
< zoq>
on viking that is
< zoq>
Just freed some space, but I guess if you wanted to run another build, you would have to remove the 15GB output file :)
< shrit[m]>
I do not think that there is an issue with the CLI binding if it is able to fill 15GB of Data
< shrit[m]>
Thus, the issue is more related to the tests rather than the code. But still I can not see how
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< rcurtin[m]1>
I found the adaboost test issue... tiny floating point differences cause a point to be classified differently on arm64 vs. amd64, and this snowballs into producing a learner with a different error rate
< zoq>
rcurtin[m]1: Nice, sounds similar to what I have seen for the adam update rule.
< rcurtin[m]1>
I think in the end it is a test tuning issue, or the test was written with an invalid assumption, but I'm not sure yet
< rcurtin[m]1>
to restate that... maybe the assumption itself isn't invalid, but it may become invalid when floating point representations are used and not ideal numbers :)