Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/1290#issuecomment-83326047
@avulanov thanks for the reference...I am more interested in fully
connected layers first...Let's discuss it in few weeks...I will ping...
I am understanding LDA's graphx implementation...LDA has 2 partitions
(document and words) but I am considering 2 partitions which both have features
and we add 10K nodes more in this graph (hidden layer)...now the issue is that
every data point needs to be passed over this graph but assuming the data is
sparse (which is often the case for these models) can we do something ? If the
data is not sparse and has 3M columns then I don't think anything will work...
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