Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/16968#discussion_r101840341
--- Diff: docs/ml-classification-regression.md ---
@@ -363,6 +363,51 @@ Refer to the [R API docs](api/R/spark.mlp.html) for
more details.
</div>
+## Linear Support Vector Machine
+
+A [support vector
machine](https://en.wikipedia.org/wiki/Support_vector_machine) constructs a
hyperplane
+or set of hyperplanes in a high- or infinite-dimensional space, which can
be used for classification,
+regression, or other tasks. Intuitively, a good separation is achieved by
the hyperplane that has
+the largest distance to the nearest training-data point of any class
(so-called functional margin),
--- End diff --
Thanks for the comment. I think both large and long can be used to describe
distance, wherever large is more suitable to describe the numeric margin.
Please let me know if you have a strong preference.
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