Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/6213#issuecomment-104970859
Refactoring MatrixFactorizationModel.recommendForAll to a common place like
Vectors/Matrices will help users who have dense data with modest columns
(~1000-10K, most IoT data falls in this category) reuse dgemm based kernel
computation. I am not sure which is a good place for this code ?
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