Github user dbtsai commented on a diff in the pull request: https://github.com/apache/spark/pull/15628#discussion_r107781333 --- Diff: mllib-local/src/main/scala/org/apache/spark/ml/linalg/Matrices.scala --- @@ -153,6 +154,97 @@ 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 toCSCMatrix: SparseMatrix = toSparseMatrix(colMajor = true) + + /** + * Converts this matrix to a sparse matrix in row major order. + */ + @Since("2.2.0") + def toCSRMatrix: SparseMatrix = toSparseMatrix(colMajor = false) + + /** + * Converts this matrix to a sparse matrix in column major order. + */ + @Since("2.2.0") + def toSparse: SparseMatrix = toSparseMatrix(colMajor = true) + + /** + * 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 in column major order. + */ + @Since("2.2.0") + def toDense: DenseMatrix = toDenseMatrix(colMajor = true) + --- End diff -- ditto. should we consider to maintain the same layout?
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