How best to write a 1D ndarray as a block of doubles, for reading in
java as double[] or a stream of double?
Maybe the performance of simple looping over doubles in python.write()
and java.read() is fine, but maybe there are representational diffs?
Maybe there's a better solution for the use case?
Use case: I get the ndarray from keras, and it represents a 2D distance
matrix. I want to find the top-50 matches for each item, per row and
column. I'm looking at moving the top-50 task to java for its superior
parallel threading. (Java doesn't fork processes with a copy of the
array, which is ~5% of memory; rather one gets 1 process with e.g. 1475%
CPU.)
Thanks,
Bill Ross
--
Phobrain.com
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