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author | Reza Zadeh <rizlar@gmail.com> | 2014-01-01 20:22:29 -0800 |
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committer | Reza Zadeh <rizlar@gmail.com> | 2014-01-01 20:22:29 -0800 |
commit | 2612164f85ae3249c78c130fc51427ace33b3580 (patch) | |
tree | 917304f260e0ed123375109127df69ecb5f464b8 | |
parent | 915d53f8acb1f7ab14894b1255eb334b0812d9d3 (diff) | |
download | spark-2612164f85ae3249c78c130fc51427ace33b3580.tar.gz spark-2612164f85ae3249c78c130fc51427ace33b3580.tar.bz2 spark-2612164f85ae3249c78c130fc51427ace33b3580.zip |
more docs yay
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/linalg/sparsesvd.scala | 5 |
1 files changed, 4 insertions, 1 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 19173fd26a..2c82c6b958 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 @@ -23,7 +23,10 @@ import org.apache.spark.rdd.RDD import org.jblas.{DoubleMatrix, Singular, MatrixFunctions} - +/** + * Top-level methods for calling Singular Value Decomposition + * NOTE: All matrices are in 1-indexed sparse format RDD[((int, int), value)] + */ object SVD { /** * Singular Value Decomposition for Tall and Skinny matrices. |