[mlpack-svn] [MLPACK] #314: HMM<GMM < > > does not scale to more than 7 dimensions for the observations for unsupervised training

[MLPACK Trac]

#314: HMM<GMM < > >  does not scale to more than 7 dimensions for the
observations for unsupervised training
--------------------------+-------------------------------------------------
  Reporter:  fleischhauf  |        Owner:  rcurtin     
      Type:  defect       |       Status:  accepted    
  Priority:  major        |    Milestone:  mlpack 1.0.9
 Component:  mlpack       |   Resolution:              
  Keywords:               |     Blocking:              
Blocked By:               |  
--------------------------+-------------------------------------------------
Changes (by rcurtin):

  * status:  reopened => accepted


Comment:

 Ok, I can't reproduce this, so can I get a little more information?

 * the architecture and OS (and its version) of the system you're running
 on
 * the output when you compile both mlpack and your executable with
 debugging flags (when you use CMake to build mlpack, add -DDEBUG=ON, and
 when you build your executable add -g -DDEBUG to the compiler command
 line)
 * the compiler you're using

 That should shed some more light on what's going on.  My current guess is
 that the covariance matrix isn't invertible, because of the line your
 problem is coming from, but that situation shouldn't happen...

 Thanks,

 Ryan

-- 
Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/314#comment:8>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed at Georgia Tech.