HyukjinKwon commented on a change in pull request #29917:
URL: https://github.com/apache/spark/pull/29917#discussion_r499340542
##########
File path: R/pkg/R/functions.R
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@@ -4458,3 +4469,25 @@ setMethod("timestamp_seconds",
)
column(jc)
})
+
+#' @details
+#' \code{vector_to_array} Converts a column of MLlib sparse/dense vectors into
+#' a column of dense arrays.
+#'
+#' @param dtype The data type of the output array. Valid values: "float64" or
"float32".
+#'
+#' @rdname column_ml_functions
+#' @aliases vector_to_array vector_to_array,Column-method
+#' @note vector_to_array since 3.1.0
+setMethod("vector_to_array",
+ signature(x = "Column"),
+ function(x, dtype = c("float32", "float64")) {
Review comment:
@zero323, sorry I missed this. Should we switch the order of the vector
here to make the default as `float64` like Python and Scala side?
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