Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id 8C3FB200C50 for ; Fri, 24 Mar 2017 19:14:47 +0100 (CET) Received: by cust-asf.ponee.io (Postfix) id 87F0E160B75; Fri, 24 Mar 2017 18:14:47 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id C9D5D160B93 for ; Fri, 24 Mar 2017 19:14:46 +0100 (CET) Received: (qmail 35754 invoked by uid 500); 24 Mar 2017 18:14:45 -0000 Mailing-List: contact reviews-help@spark.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list reviews@spark.apache.org Received: (qmail 35649 invoked by uid 99); 24 Mar 2017 18:14:42 -0000 Received: from git1-us-west.apache.org (HELO git1-us-west.apache.org) (140.211.11.23) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 24 Mar 2017 18:14:42 +0000 Received: by git1-us-west.apache.org (ASF Mail Server at git1-us-west.apache.org, from userid 33) id A25EFDFFDA; Fri, 24 Mar 2017 18:14:42 +0000 (UTC) From: dbtsai To: reviews@spark.apache.org Reply-To: reviews@spark.apache.org References: In-Reply-To: Subject: [GitHub] spark pull request #15628: [SPARK-17471][ML] Add compressed method to ML mat... Content-Type: text/plain Message-Id: <20170324181442.A25EFDFFDA@git1-us-west.apache.org> Date: Fri, 24 Mar 2017 18:14:42 +0000 (UTC) archived-at: Fri, 24 Mar 2017 18:14:47 -0000 Github user dbtsai commented on a diff in the pull request: https://github.com/apache/spark/pull/15628#discussion_r107961223 --- Diff: mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala --- @@ -161,6 +168,116 @@ sealed trait Matrix extends Serializable { */ @Since("2.0.0") def numActives: Int + + /** + * Converts this matrix to a sparse matrix. + * + * @param colMajor Whether the values of the resulting sparse matrix should be in column major + * or row major order. If `false`, resulting matrix will be row major. + */ + private[ml] def toSparseMatrix(colMajor: Boolean): SparseMatrix + + /** + * Converts this matrix to a sparse matrix in column major order. + */ + @Since("2.2.0") + def toSparseColMajor: SparseMatrix = toSparseMatrix(colMajor = true) + + /** + * Converts this matrix to a sparse matrix in row major order. + */ + @Since("2.2.0") + def toSparseRowMajor: SparseMatrix = toSparseMatrix(colMajor = false) + + /** + * Converts this matrix to a sparse matrix while maintaining the layout of the current matrix. + */ + @Since("2.2.0") + def toSparse: SparseMatrix = toSparseMatrix(colMajor = !isTransposed) + + /** + * Converts this matrix to a dense matrix. + * + * @param colMajor Whether the values of the resulting dense matrix should be in column major + * or row major order. If `false`, resulting matrix will be row major. + */ + private[ml] def toDenseMatrix(colMajor: Boolean): DenseMatrix + + /** + * Converts this matrix to a dense matrix while maintaining the layout of the current matrix. + */ + @Since("2.2.0") + def toDense: DenseMatrix = toDenseMatrix(colMajor = !isTransposed) --- End diff -- `def toDense: DenseMatrix = toDenseMatrix(colMajor = isColMajor)` --- 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 infrastructure@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org For additional commands, e-mail: reviews-help@spark.apache.org