Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/16968#discussion_r101683048
--- 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),
+since in general the larger the margin the lower the generalization error
of the classifier. LinearSVC
+in Spark ML supports binary calssification with linear SVM. Internally, it
optimizes the
--- End diff --
calssification -> classification
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
