Github user bdwyer2 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18035#discussion_r117864689
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -46,15 +46,16 @@ setClass("MultilayerPerceptronClassificationModel",
representation(jobj = "jobj"
#' @note NaiveBayesModel since 2.0.0
setClass("NaiveBayesModel", representation(jobj = "jobj"))
-#' linear SVM Model
+#' Linear SVM Model
#'
-#' Fits an linear SVM model against a SparkDataFrame. It is a binary
classifier, similar to svm in glmnet package
+#' Fits a linear SVM model against a SparkDataFrame, similar to svm in
e1071 package.
+#' Currently only supports binary classification model with linear kernal.
--- End diff --
Do you mean `kernel` instead of `kernal`?
---
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 [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
