Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/16729#discussion_r105567727
--- Diff: R/pkg/R/mllib_regression.R ---
@@ -84,14 +93,25 @@ setClass("IsotonicRegressionModel", representation(jobj
= "jobj"))
#' # can also read back the saved model and print
#' savedModel <- read.ml(path)
#' summary(savedModel)
+#'
+#' # fit tweedie model
+#' model <- spark.glm(df, Freq ~ Sex + Age, family = "tweedie",
+#' variancePower = 1.2, linkPower = 0)
+#' summary(model)
#' }
#' @note spark.glm since 2.0.0
#' @seealso \link{glm}, \link{read.ml}
setMethod("spark.glm", signature(data = "SparkDataFrame", formula =
"formula"),
function(data, formula, family = gaussian, tol = 1e-6, maxIter =
25, weightCol = NULL,
- regParam = 0.0) {
+ regParam = 0.0, variancePower = 0.0, linkPower = 1.0 -
variancePower) {
+
if (is.character(family)) {
- family <- get(family, mode = "function", envir =
parent.frame())
+ # Handle when family = "tweedie"
+ if (tolower(family) == "tweedie") {
+ family <- list(family = "tweedie", link = "linkNotUsed")
--- End diff --
nit: I think you can set link = NULL
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