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

[MLPACK Trac]

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

  * milestone:  => mlpack 1.0.9


Comment:

 Ok, I understand what you mean now.  Here is a comment in the source that
 I found:

 {{{
 // Starting state (at t = -1) is assumed to be state 0.  This is what
 MATLAB
 // does in their hmmdecode() function, so we will emulate that behavior.
 }}}

 So mlpack just assumes that the initial state is always state 0.  It
 should not be hard to put actual initial state probabilities into the
 code.  I may be able to find time to do that in the next few days, but I'm
 pretty busy right now.  These functions will need to be modified:

 * HMM::Predict()
 * HMM::Train()
 * HMM::Forward()

 as well as the HMM class itself (it'll need to hold initial state
 probabilities), and a test to make sure that it works with the initial
 state probabilities properly.

-- 
Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/315#comment:3>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed at Georgia Tech.