Github user kottmann commented on the issue:
https://github.com/apache/incubator-hivemall/pull/93
@helenahm as far as I know the training data is stored once in memory, and
then for each thread a copy of the parameters is stored.
Yeah, so if you have a lot of training data then running out of memory is
one symptom you run into, but that is not the actual problem of this
implementation. The actual cause is that it won't scale beyond one machine.
Bottom line if you want to use GIS training with lots of data don't use
this implementation, the training requires a certain amount of CPU time and it
increases with the amount of training data. In case you manage to make this run
with much more data the time it will take to run will be uncomfortably high.
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