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From dbtsai <...@git.apache.org>
Subject [GitHub] spark pull request #15628: [SPARK-17471][ML] Add compressed method to ML mat...
Date Fri, 24 Mar 2017 18:14:42 GMT
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)`



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