diff options
Diffstat (limited to 'mllib')
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/linalg/sparsesvd.scala | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/linalg/sparsesvd.scala b/mllib/src/main/scala/org/apache/spark/mllib/linalg/sparsesvd.scala index a799aa3280..1c9f67e265 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/linalg/sparsesvd.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/linalg/sparsesvd.scala @@ -29,7 +29,7 @@ import org.jblas.{DoubleMatrix, Singular, MatrixFunctions} * Given an m x n matrix A, this will compute matrices U, S, V such that * A = U * S * V' * - * There is no restriction on m, but we require n doubles to be held in memory. + * There is no restriction on m, but we require n^2 doubles to fit in memory. * Further, n should be less than m. * * This is computed by first computing A'A = V S^2 V', @@ -81,7 +81,7 @@ object SVD { }.reduceByKey(_+_) - // Constructi jblas A^T A locally + // Construct jblas A^T A locally val ata = DoubleMatrix.zeros(n, n) for(entry <- emits.toArray) { ata.put(entry._1._1-1, entry._1._2-1, entry._2) |