Even it s not perfect, it s is good to keep it . I am an user and there
s all the time a recurrent request on the topics..
Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye Close |
Fleet | Hampshire | GU51 2QQ | Tel: 0871 574 7989 | Fax: 0871 574 2992 |
Email: dv...@capquestco.com <mailto:mbruna...@capquestco.com>
From: Andreas Mueller [mailto:amuel...@ais.uni-bonn.de]
Sent: 06 March 2013 07:55
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] Multinomial HMM Issue #1158
Hi.
Should we just deprecate / remove the HMM?
We deemed sequence prediction off-topic (Lars' words and I agree) and
there is no core-dev maintaining them.
Is there any project this could move to?
Statsmodel, pandas? There should be a go-to place for time-series
modelling.
There was scikit-timeseries but that is supposed to move to pandas:
http://pytseries.sourceforge.net/
Sorry if this is not the answer you hoped for, Dave :-/
Cheers,
Andy
On 03/06/2013 12:56 AM, David Reed wrote:
Hi, I added a comment to issue #1158 but since it is closed, I'm
not sure if anyone would be alerted.
I am not sure if this should be closed or perhaps a second issue
should be opened.
As already stated, the attribute n_symbols only gets created
when an emission probability matrix is defined. This is not documented
very well, is sorta clumsy and also not consistent.
The HMM currently only requires the number of components (which
I believe would be better named to states). It takes the number of
components and generates a uniform transition matrix. This should also
be true for the emission matrix. If given the number of states and
symbols, a uniform emission matrix should be generated.
The emission matrix should also be an optional input.
I could take a wack at resolving these if everyone agrees.
Thanks,
Dave
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