?
---
Ats.,
Mauricio Reis
Em 28/06/2019 16:47, Mauricio Reis escreveu:
My laptop has Intel I7 processor with 4 cores. When I run the program
on Windows 10, the "joblib.cpu_count()" routine returns "4". In these
cases, the same test I did on the Cray computer caused a 10% incr
ot;n_jobs = 4"
parameter compared to the processing time of that routine without this
parameter. Do you know what is the cause of the longer processing time
when I use "n_jobs = 4" on my laptop?
---
Ats.,
Mauricio Reis
Em 28/06/2019 06:29, Brown J.B. via scikit-learn escreveu:
w
;aprun" command used in the file "ncpus.pbs"). But I do not know if you
know the Cray computer environment and you'll understand what I did!
I use Cray XK7 computer which has 10 blades, each blade has 4 nodes
(total of 40 nodes) and each node has 1 CPU a
-
Ats.,
Mauricio Reis
Em 19/06/2019 17:44, Olivier Grisel escreveu:
How many cores du you have on this machine?
joblib.cpu_count()
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I'd like to understand how parallelism works in the DBScan routine in
SciKit Learn running on the Cray computer and what should I do to
improve the results I'm looking at.
I have adapted the existing example in
[https://scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html#sphx-glr-au
ause it has only the output
attributes "core_sample_indices_", "components_" and "labels_" are
available.
Can you help me?
Att.,
Mauricio Reis
2018-05-18 19:29 GMT-03:00 Shane Grigsby :
> Hi Mauricio,
> You can also use OPTICS in DBSCAN mode. The pull request is
work with the SciKitLearn package ready. :-(
Att.,
Mauricio Reis
2018-05-16 20:33 GMT-03:00 Joel Nothman :
> Implemented in a previous version of #10280
> <https://github.com/scikit-learn/scikit-learn/pull/10280>, but removed
> for now to simplify reviews
> <https://gith
ne? 2) I suggest developing test versions of routines
that may have a memory error.
Att.,
Mauricio Reis
2018-05-13 5:34 GMT-03:00 Roman Yurchak :
> Could you please check memory usage while running DBSCAN to make sure
> freezing is due to running out of memory and not to something el
The DBScan "fit" method (in scikit-learn v0.19.1) is freezing my computer
without any warning message!
I am using WinPython 3.6.5 64 bit.
The method works normally with the original data, but freezes when I use
the normalized data (between 0 and 1).
What should I do?
Att.,
Mau
