It would probably be much easier to use an existing library in conjunction with mlib or spark. I have been using jblas as my matrix backend for machine learning work (I don't use mlib yet)... but jblas does not support sparse matrices afaik. Consider checking scala Breeze. Interestingly, I have found that a really solid dense matrix implementation often outperforms sparse matrix libraries given certain constraints on the matrix size (i.e. they aren't too huge.)
-- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Sparse-Matrices-support-in-Spark-tp13548p13589.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
