I have a matrix X of type: res39: org.apache.spark.mllib.linalg.distributed.RowMatrix = org.apache.spark.mllib.linalg.distributed.RowMatrix@6cfff1d3 with n rows and p columns
I would like to obtain an array S of size n*1 defined as the sum of the columns of X. S will then be replaced by val s2 = s map (x=> sin(x)/x) Finally I would like to fit a linear regression between X and s2. How can I do that? Thanks a lot! -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/sum-of-columns-in-rowMatrix-and-linear-regression-tp21563.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
