[mlpack-svn] [MLPACK] #315: set initial state probabilities for hmm

MLPACK Trac trac at coffeetalk-1.cc.gatech.edu
Tue Jul 8 15:29:28 EDT 2014


#315: set initial state probabilities for hmm
-----------------------------------------+----------------------------------
  Reporter:  fleischhauf                 |        Owner:              
      Type:  enhancement                 |       Status:  closed      
  Priority:  minor                       |    Milestone:  mlpack 1.0.9
 Component:  mlpack                      |   Resolution:  fixed       
  Keywords:  hmm, initial probabilities  |     Blocking:              
Blocked By:                              |  
-----------------------------------------+----------------------------------
Changes (by rcurtin):

  * keywords:  => hmm, initial probabilities
  * status:  reopened => closed
  * resolution:  => fixed


Comment:

 Okay, I finally got around to fixing this, in r16789 and r16790.  It will
 be a part of the next release, but if you need it now, you can compile
 mlpack from svn trunk.  Initial probabilities can be specified with an HMM
 constructor or manually through the HMM::Initial() function.  The
 forward/backward algorithms, Baum-Welch algorithms, and Viterbi algorithms
 take the initial probabilities into account now, so everything should work
 as expected.

 Sorry that this whole thing took so long.  Maybe my time estimation
 algorithms are faulty...

-- 
Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/315#comment:6>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed at Georgia Tech.


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