Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/14346
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14346#discussion_r72880469
--- Diff: R/pkg/R/mllib.R ---
@@ -119,7 +121,7 @@ NULL
#' @note spark.glm since 2.0.0
#' @seealso \link{glm}, \link{read.ml}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14346#discussion_r72880472
--- Diff: R/pkg/R/mllib.R ---
@@ -165,8 +172,8 @@ setMethod("spark.glm", signature(data =
"SparkDataFrame", formula = "formula"),
#' @note glm
GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/14346
[SPARK-16710] [SparkR] [ML] spark.glm should support weightCol
## What changes were proposed in this pull request?
Training GLMs on weighted dataset is very important use cases. Users can
