Hi David,

There is a pull request that improves a lot the HMM implementation and
documentation:
https://github.com/scikit-learn/scikit-learn/pull/538

It should be merged anytime. Actually, I almost feel like merging it
_now_ as it does improve the situation quite a lot.

Additional help on documentation and improving the
useability/stability/speed of HMMs in addition to that pull request would
be very welcomed.

Gael

On Tue, Mar 06, 2012 at 11:51:13AM -0800, David Kadish wrote:
>    Hi,
>    As part of my masters project, I'm going to be working pretty heavily with
>    numpy/scipy and machine learning techniques like SVM and HMM. I noticed
>    that the current HMM implementation lacks docs and has some stability
>    issues and might be removed shortly. I'm interested in trying to revive
>    it, but I was wondering if someone could point me in a good starting
>    direction. I have tons of experience working with python, and a cursory
>    understanding (for now) of HMMs, if that helps!
>    Cheers,
>    David

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-- 
    Gael Varoquaux
    Researcher, INRIA Parietal
    Laboratoire de Neuro-Imagerie Assistee par Ordinateur
    NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
    Phone:  ++ 33-1-69-08-79-68
    http://gael-varoquaux.info

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Virtualization & Cloud Management Using Capacity Planning
Cloud computing makes use of virtualization - but cloud computing 
also focuses on allowing computing to be delivered as a service.
http://www.accelacomm.com/jaw/sfnl/114/51521223/
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