When model training, algorithm read whole training data stored in database.
If whole training data is not fit in memory, how can algorithm handle this situation?
Is it disk based algorithm?
Or does it use sampling or something special techniques?
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2 replies Latest Post - 2011-04-15T12:50:58Z by Sprince
Pinned topic About data mining algorithm supported by intelligent miner...
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Updated on 2011-04-15T12:50:58Z at 2011-04-15T12:50:58Z by Sprince
M._Haide 060000132W6 PostsACCEPTED ANSWER
Re: About data mining algorithm supported by intelligent miner...2011-04-15T12:00:40Z in response to SprinceHi Sprince,
there are different methods to handle such situation. Depending on the algorithm you select IM does use disk space in case the available memory is not enough.
If you like to use sampling you need to specify it otherwise all data is processed.