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speed up #55

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psycharo-zz opened this issue Jun 25, 2013 · 1 comment
Open

speed up #55

psycharo-zz opened this issue Jun 25, 2013 · 1 comment
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enhancement vmp

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@psycharo-zz
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training a model with 32 mixtures currently takes around 1.5 seconds. since networks are entirely independent, it should be possible to multithread (c++11 ThreadPool implementation - https://github.com/en4bz/ThreadPool)
Also, when fitted, a large number of mixtures has very low weight (those components with mean=0,prec=1,weight<~1e-5), however they decrease performance. they could be easily removed after pre-training, or even online somewhere in vmp::MoGArray.
@ghost ghost assigned psycharo-zz Jun 25, 2013
@psycharo-zz
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http://arma.sourceforge.net/speed.html - using this library instead of std::vector might also improve performance

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