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Diffstat (limited to 'docs/mllib-data-types.md')
| -rw-r--r-- | docs/mllib-data-types.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/mllib-data-types.md b/docs/mllib-data-types.md index 363dc7c13b..5e3ee472a7 100644 --- a/docs/mllib-data-types.md +++ b/docs/mllib-data-types.md @@ -11,7 +11,7 @@ MLlib supports local vectors and matrices stored on a single machine, as well as distributed matrices backed by one or more RDDs. Local vectors and local matrices are simple data models that serve as public interfaces. The underlying linear algebra operations are provided by -[Breeze](http://www.scalanlp.org/) and [jblas](http://jblas.org/). +[Breeze](http://www.scalanlp.org/). A training example used in supervised learning is called a "labeled point" in MLlib. ## Local vector |