> Pedro Cardoso wrote:
>
> One more point. This is the stack when I do a KeyboardInterruption:
>
> File ".../anaconda/envs/prod/lib/python2.7/multiprocessing/process.py",
> line 114, in run
> File ".../anaconda/envs/prod/lib/python2.7/multiprocessing/pool.py", line
> 102, in worker
> self._target(*self._args, **self._kwargs)
> File ".../anaconda/envs/prod/lib/python2.7/multiprocessing/pool.py", line
> 102, in worker
> task = get()
> File
> ".../anaconda/envs/prod/lib/python2.7/site-packages/sklearn/externals/joblib/pool.py",
> line 343, in get
> return recv()
> KeyboardInterrupt
> task = get()
> File
> ".../anaconda/envs/prod/lib/python2.7/site-packages/sklearn/externals/joblib/pool.py",
> line 341, in get
> racquire()
> KeyboardInterrupt
>
> Regards,
> Pedro
>
> Pedro Cardoso wrote:
> Hi.
>
> I am getting some strange issues, using sklearn functions that use multiple
> jobs, when fitting a dense Matrix array.
>
> First time I saw the problem was with GridSearchCV, but now seeing the same
> with KMeans. The process just stays there, No Memory increase, no CPU usage.
> Stuck.
>
> The input data is a 600K by 200 dense matrix. The software is the latest
> anaconda version. All was working fine with sparse data.
Hi Pedro.
Could you please provide us some more details on your hardware configuration?
(Memory available, memory usage, operating system, and s forth).
This would be surely helpful!
In this regard, please consider to run the `htop` command (if available) while
the code is running and share the result with us to have more insights on the
problem.
HTH,
Valerio
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