Github user hhbyyh commented on a diff in the pull request: https://github.com/apache/spark/pull/16968#discussion_r101840357 --- 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 -- Thanks
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