Github user srowen commented on a diff in the pull request: https://github.com/apache/spark/pull/16013#discussion_r89686346 --- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/EigenValueDecomposition.scala --- @@ -32,7 +32,10 @@ private[mllib] object EigenValueDecomposition { * * @param mul a function that multiplies the symmetric matrix with a DenseVector. * @param n dimension of the square matrix (maximum Int.MaxValue). - * @param k number of leading eigenvalues required, 0 < k < n. + * @param k number of leading eigenvalues required, + * {{{ + * 0 < k < n --- End diff -- "where k must be positive and less than n"
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org