2012/7/11 Vlad Niculae <[email protected]>:
> This has been merged.
>
> https://github.com/vene/scikit-learn-speed
>
> There are now easy instructions you can follow to run the suite on your own 
> machine. One step closer to running remotely.
>
> On Jul 6, 2012, at 18:33 , Vlad Niculae wrote:
>
>> Progress update, I adapted the ml-benchmarks over at 
>> https://github.com/vene/scikit-learn-speed/tree/ml-benchmarks
>>
>> On Jul 5, 2012, at 15:14 , Olivier Grisel wrote:
>>
>>> Thanks very much for the wrap up Vlad. Could you please document how
>>> to use the %memit and %mrun tools in the performance chapter of the
>>> scikit-learn documentation?
>>>
>>> http://scikit-learn.org/stable/developers/performance.html
>>
>> I will take care of this shortly.
>>
>>>
>>> Those are great tools BTW. Also continuous monitoring of memory usage
>>> in vbench is a really nice new feature IMHO.

Thanks for the README.txt. I followed it (after having installed the
latest release of pandas and you branch of vbench for tracking memory)
and I can run the scripts successfully and then generate the report
but the plots have a no data points (empty plots). When I do:

$ sqlite3 benchmarks.db
sqlite> select * from results;

I get not results...

BTW, I did the reporting for the midterm evaluation of this GSoC
project on google melange to make it pass, congrats :)

-- 
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

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