[mlpack-svn] [MLPACK] #308: GMM initial parameter values

MLPACK Trac trac at coffeetalk-1.cc.gatech.edu
Sun Nov 3 14:52:40 EST 2013


#308: GMM initial parameter values
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 Reporter:  Madda   |        Owner:     
     Type:  task    |       Status:  new
 Priority:  major   |    Milestone:     
Component:  mlpack  |     Keywords:     
 Blocking:          |   Blocked By:     
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 Hello,

 I am using the GMM class with the EMFit clustering method GMM<EMFit<> >.
 I am passing initial values of means, covariances and weights, previously
 estimated:
 GMM<EMFit<> > ml_gmm(initial_means, initial_covariances, initail_weights);

 I thought that the Estimate function starts the EM from these values, but
 the first step is to calculate the parameters with the function
 InitialClustering.

 Am I understanding it wrong? It is possible to start the EM from some
 initial values? Maybe commenting out the InitialClustering call in
 em_fit_impl.hpp?

 Thanks a lot,
 Madda

-- 
Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/308>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed at Georgia Tech.


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