Github user etrain commented on the pull request:
https://github.com/apache/spark/pull/79#issuecomment-39392123
Hi Hirakendu - thanks for all the detailed suggestions and information. I
will reply to that separately.
One question - you say there are 500,000 examples and this equates to 90GB
of raw data. If that's the case, this works out to ~200KB per example - is that
right or are you off by an order of magnitude in either the number of features
or the number of data points? Or are we throwing a bunch of data out before
fitting?
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