You don't need a separate install of joblib, as it is shipped with scikit-learn.
RF use a threading strategy for parallel computing, rather than a multi process
strategy. What matters is not the number of processes that you are seeing, but
the CPU usage. Are you seeing that your CPUs are being u
Hi ,
Yes it works with grid search.
I’m checking using the ‘top’ command
From: Artem [mailto:barmaley@gmail.com]
Sent: Friday, February 27, 2015 5:14 PM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] random forests with njobs>1
Do you have job
Do you have joblib installed? Does n_jobs > 1 work with other algorithms?
On Sat, Feb 28, 2015 at 12:55 AM, Pagliari, Roberto wrote:
> When using random forests with njobs > 1, I see one python process only.
> Does RF support using multiprocessor module?
>
>
>
>
> ---
Yes, it should. When I used it ~ 2 months ago I was running it on 16 processors
I can remember... When I did a `checkjob` it was utilizing most of them most of
the time.
> On Feb 27, 2015, at 4:55 PM, Pagliari, Roberto
> wrote:
>
> When using random forests with njobs > 1, I see one python
When using random forests with njobs > 1, I see one python process only. Does
RF support using multiprocessor module?
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