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