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author | Reza Zadeh <rizlar@gmail.com> | 2014-01-17 14:31:39 -0800 |
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committer | Reza Zadeh <rizlar@gmail.com> | 2014-01-17 14:31:39 -0800 |
commit | 5c639d70df3da48bb52841aa57074ec151bb61cf (patch) | |
tree | 4ed6e39962782d71cb95cdaaf924c27f964e1de0 /docs | |
parent | c9b4845bc120b8b63d5e033dd1d506d84c420b20 (diff) | |
download | spark-5c639d70df3da48bb52841aa57074ec151bb61cf.tar.gz spark-5c639d70df3da48bb52841aa57074ec151bb61cf.tar.bz2 spark-5c639d70df3da48bb52841aa57074ec151bb61cf.zip |
0index docs
Diffstat (limited to 'docs')
-rw-r--r-- | docs/mllib-guide.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/mllib-guide.md b/docs/mllib-guide.md index 89ac64a086..5be8ce1ebe 100644 --- a/docs/mllib-guide.md +++ b/docs/mllib-guide.md @@ -463,7 +463,7 @@ such values, then the dimensions of the return will be: * *U* is *m x k* and satisfies U^T*U = eye(k). * *V* is *n x k* and satisfies V^TV = eye(k). -All input and output is expected in sparse matrix format, 1-indexed +All input and output is expected in sparse matrix format, 0-indexed as tuples of the form ((i,j),value) all in SparseMatrix RDDs. Below is example usage. |