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Parallelise the cluster (regular mixture model) algorithms more efficiently #5

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dsteinberg opened this issue Jan 27, 2016 · 1 comment

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dsteinberg commented Jan 27, 2016

At the moment only the 'grouped' mixtures and more hierarchical algorithms are parallelised in an efficient manner.

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dsteinberg commented Feb 13, 2016

This code is really slow compared to just dividing the data into groups and running e.g. the parallel G-LDA algorithm...

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dsteinberg added this to the Version 3.0 milestone

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