Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16284#discussion_r92514923
--- Diff: R/pkg/R/mllib.R ---
@@ -1233,7 +1233,7 @@ setMethod("spark.survreg", signature(data =
"SparkDataFrame", formula = "formula
#' docConcentration. Only 1-size or \code{k}-size numeric is
accepted.
#' @param customizedStopWords stopwords that need to be removed from the
given corpus. Ignore the
#' parameter if libSVM-format column is used as the features column.
-#' @param maxVocabSize maximum vocabulary size, default 1 << 18
+#' @param maxVocabSize maximum vocabulary size, default is 1 << 18
--- End diff --
Gradient Boosted Tree Model for Regression and Classification
`#' @param lossType Loss function which GBT tries to minimize.
#' For classification, must be "logistic". For regression,
must be one of
#' "squared" (L2) and "absolute" (L1), default is "squared".
`
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