Github user actuaryzhang commented on a diff in the pull request:
https://github.com/apache/spark/pull/16729#discussion_r105576051
--- Diff: R/pkg/R/mllib_regression.R ---
@@ -100,6 +120,12 @@ setMethod("spark.glm", signature(data =
"SparkDataFrame", formula = "formula"),
print(family)
stop("'family' not recognized")
}
+ # Handle when family = statmod::tweedie()
+ if (tolower(family$family) == "tweedie" &&
!is.null(family$variance)) {
--- End diff --
This part only handles the case when `statmod::tweedie` is specified: it
retrieves the `var.power` and `link.power` and construct a list with family
name and link name to be used.
The check for non-null `variance` is to skip handling the "fake" family.
All we need when specifying `family = "tweedie"` is just a list with family
name and link name.
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