Github user hhbyyh commented on a diff in the pull request: https://github.com/apache/spark/pull/16968#discussion_r101872717 --- Diff: docs/ml-classification-regression.md --- @@ -363,6 +363,44 @@ 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 points 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 binomial classification with linear SVM. Internally, it optimizes the --- End diff -- just to be consistent with LR. But I'm not sure if it's the common expression.
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