hi olivier,
As far as know, nope. It might be easy to rewrite this snippet using
> the IPython parallel API in your code though:
>
> http://ipython.org/ipython-doc/dev/parallel/index.html
i have done a fair bit of ipython parallel programming. but the use cases
for machine learning vary so much that i wouldn't necessarily want to
implement one for everybody.
in that respect, i really like the idea (@gael) of a keyword arg that takes
a well specified object. this might default to joblib for local shared
memory execution or to someone's own for distributed execution (that's kind
of how we do it nipype).
i'll take a look at the njobs interface over the next week.
> I plan to write a set of utilities for IPython so as to launch an
> IPython cluster of any size on any cloud provider (Amazon EC2,
> Rackspace Cloud, Linode, Brightbox...) using Apache Libcloud.
>
> But as usual I have not started anything serious yet :P
>
don't do this because its already happening as part of three projects
(starcluster and an incf fabric framework and a commercial company - i
forget the name right now).
cheers,
satra
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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Why? It contains a definitive record of application performance, security
threats, fraudulent activity, and more. Splunk takes this data and makes
sense of it. IT sense. And common sense.
http://p.sf.net/sfu/splunk-d2dcopy2
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