Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/6958#discussion_r34052486
--- Diff: docs/mllib-data-types.md ---
@@ -226,7 +226,8 @@ examples = MLUtils.loadLibSVMFile(sc,
"data/mllib/sample_libsvm_data.txt")
A local matrix has integer-typed row and column indices and double-typed
values, stored on a single
machine. MLlib supports dense matrices, whose entry values are stored in
a single double array in
-column major. For example, the following matrix `\[ \begin{pmatrix}
+column-major order, and sparse matrices, whose non-zero entry values are
stored in the Compressed Sparse
+Column (CSC) format in column-major order. For example, the following
dense matrix `\[ \begin{pmatrix}
--- End diff --
minor: We could provide a wiki link for `CSC`:
https://en.wikipedia.org/wiki/Sparse_matrix#Compressed_sparse_column_.28CSC_or_CCS.29
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