How is the problem of large-scale matrix inversion approached in Apache Spark ?
This linear algebra operation is obviously the very base of a lot of other algorithms (regression, classification, etc). However, I have not been able to find a Spark API on parallel implementation of matrix inversion. Can you please clarify approaching this operation on the Spark internals ? Here <http://ieeexplore.ieee.org/abstract/document/7562171/> is a paper on the parallelized matrix inversion in Spark, however I am trying to use an existing code instead of implementing one from scratch, if available. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Large-scale-matrix-inverse-in-Spark-tp27796.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
