#8547: implement hidden markov models in Cython from scratch (so can remove the
GHMM standard package from Sage)
---------------------------+------------------------------------------------
Reporter: was | Owner: amhou
Type: enhancement | Status: needs_review
Priority: major | Milestone: sage-4.4
Component: statistics | Keywords:
Author: | Upstream: N/A
Reviewer: | Merged:
Work_issues: |
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Comment(by mhampton):
I got one numerical noise doctest failure on OS X 10.5.8:
sage -t devel/sage-t2/sage/stats/hmm/util.pyx
**********************************************************************
File
"/Users/mh/sagestuff/sage-4.3.5/devel/sage-t2/sage/stats/hmm/util.pyx",
line 55:
sage: T.sum()
Expected:
1.0
Got:
0.99999999999999978
I used this code in class yesterday (see
http://wiki.sagemath.org/interact/stats#HiddenMarkovModel.3ATheOccasionallyDishonestCasino)
and for that limited purpose it seemed fine.
It would be nice to have the forward and backward algorithms more exposed,
but I don't think that needs to go into this ticket unless you feel like
it.
Apart from the noise issue I think can give this a positive review.
--
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/8547#comment:12>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica,
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