Repository: spark Updated Branches: refs/heads/master 947b4e6f0 -> 4586eada4
http://git-wip-us.apache.org/repos/asf/spark/blob/4586eada/R/pkg/R/mllib_tree.R ---------------------------------------------------------------------- diff --git a/R/pkg/R/mllib_tree.R b/R/pkg/R/mllib_tree.R index 4e5ddf2..6769be0 100644 --- a/R/pkg/R/mllib_tree.R +++ b/R/pkg/R/mllib_tree.R @@ -20,42 +20,36 @@ #' S4 class that represents a GBTRegressionModel #' #' @param jobj a Java object reference to the backing Scala GBTRegressionModel -#' @export #' @note GBTRegressionModel since 2.1.0 setClass("GBTRegressionModel", representation(jobj = "jobj")) #' S4 class that represents a GBTClassificationModel #' #' @param jobj a Java object reference to the backing Scala GBTClassificationModel -#' @export #' @note GBTClassificationModel since 2.1.0 setClass("GBTClassificationModel", representation(jobj = "jobj")) #' S4 class that represents a RandomForestRegressionModel #' #' @param jobj a Java object reference to the backing Scala RandomForestRegressionModel -#' @export #' @note RandomForestRegressionModel since 2.1.0 setClass("RandomForestRegressionModel", representation(jobj = "jobj")) #' S4 class that represents a RandomForestClassificationModel #' #' @param jobj a Java object reference to the backing Scala RandomForestClassificationModel -#' @export #' @note RandomForestClassificationModel since 2.1.0 setClass("RandomForestClassificationModel", representation(jobj = "jobj")) #' S4 class that represents a DecisionTreeRegressionModel #' #' @param jobj a Java object reference to the backing Scala DecisionTreeRegressionModel -#' @export #' @note DecisionTreeRegressionModel since 2.3.0 setClass("DecisionTreeRegressionModel", representation(jobj = "jobj")) #' S4 class that represents a DecisionTreeClassificationModel #' #' @param jobj a Java object reference to the backing Scala DecisionTreeClassificationModel -#' @export #' @note DecisionTreeClassificationModel since 2.3.0 setClass("DecisionTreeClassificationModel", representation(jobj = "jobj")) @@ -179,7 +173,6 @@ print.summary.decisionTree <- function(x) { #' @return \code{spark.gbt} returns a fitted Gradient Boosted Tree model. #' @rdname spark.gbt #' @name spark.gbt -#' @export #' @examples #' \dontrun{ #' # fit a Gradient Boosted Tree Regression Model @@ -261,7 +254,6 @@ setMethod("spark.gbt", signature(data = "SparkDataFrame", formula = "formula"), #' \code{numTrees} (number of trees), and \code{treeWeights} (tree weights). #' @rdname spark.gbt #' @aliases summary,GBTRegressionModel-method -#' @export #' @note summary(GBTRegressionModel) since 2.1.0 setMethod("summary", signature(object = "GBTRegressionModel"), function(object) { @@ -275,7 +267,6 @@ setMethod("summary", signature(object = "GBTRegressionModel"), #' @param x summary object of Gradient Boosted Tree regression model or classification model #' returned by \code{summary}. #' @rdname spark.gbt -#' @export #' @note print.summary.GBTRegressionModel since 2.1.0 print.summary.GBTRegressionModel <- function(x, ...) { print.summary.treeEnsemble(x) @@ -285,7 +276,6 @@ print.summary.GBTRegressionModel <- function(x, ...) { #' @rdname spark.gbt #' @aliases summary,GBTClassificationModel-method -#' @export #' @note summary(GBTClassificationModel) since 2.1.0 setMethod("summary", signature(object = "GBTClassificationModel"), function(object) { @@ -297,7 +287,6 @@ setMethod("summary", signature(object = "GBTClassificationModel"), # Prints the summary of Gradient Boosted Tree Classification Model #' @rdname spark.gbt -#' @export #' @note print.summary.GBTClassificationModel since 2.1.0 print.summary.GBTClassificationModel <- function(x, ...) { print.summary.treeEnsemble(x) @@ -310,7 +299,6 @@ print.summary.GBTClassificationModel <- function(x, ...) { #' "prediction". #' @rdname spark.gbt #' @aliases predict,GBTRegressionModel-method -#' @export #' @note predict(GBTRegressionModel) since 2.1.0 setMethod("predict", signature(object = "GBTRegressionModel"), function(object, newData) { @@ -319,7 +307,6 @@ setMethod("predict", signature(object = "GBTRegressionModel"), #' @rdname spark.gbt #' @aliases predict,GBTClassificationModel-method -#' @export #' @note predict(GBTClassificationModel) since 2.1.0 setMethod("predict", signature(object = "GBTClassificationModel"), function(object, newData) { @@ -334,7 +321,6 @@ setMethod("predict", signature(object = "GBTClassificationModel"), #' which means throw exception if the output path exists. #' @aliases write.ml,GBTRegressionModel,character-method #' @rdname spark.gbt -#' @export #' @note write.ml(GBTRegressionModel, character) since 2.1.0 setMethod("write.ml", signature(object = "GBTRegressionModel", path = "character"), function(object, path, overwrite = FALSE) { @@ -343,7 +329,6 @@ setMethod("write.ml", signature(object = "GBTRegressionModel", path = "character #' @aliases write.ml,GBTClassificationModel,character-method #' @rdname spark.gbt -#' @export #' @note write.ml(GBTClassificationModel, character) since 2.1.0 setMethod("write.ml", signature(object = "GBTClassificationModel", path = "character"), function(object, path, overwrite = FALSE) { @@ -402,7 +387,6 @@ setMethod("write.ml", signature(object = "GBTClassificationModel", path = "chara #' @return \code{spark.randomForest} returns a fitted Random Forest model. #' @rdname spark.randomForest #' @name spark.randomForest -#' @export #' @examples #' \dontrun{ #' # fit a Random Forest Regression Model @@ -480,7 +464,6 @@ setMethod("spark.randomForest", signature(data = "SparkDataFrame", formula = "fo #' \code{numTrees} (number of trees), and \code{treeWeights} (tree weights). #' @rdname spark.randomForest #' @aliases summary,RandomForestRegressionModel-method -#' @export #' @note summary(RandomForestRegressionModel) since 2.1.0 setMethod("summary", signature(object = "RandomForestRegressionModel"), function(object) { @@ -494,7 +477,6 @@ setMethod("summary", signature(object = "RandomForestRegressionModel"), #' @param x summary object of Random Forest regression model or classification model #' returned by \code{summary}. #' @rdname spark.randomForest -#' @export #' @note print.summary.RandomForestRegressionModel since 2.1.0 print.summary.RandomForestRegressionModel <- function(x, ...) { print.summary.treeEnsemble(x) @@ -504,7 +486,6 @@ print.summary.RandomForestRegressionModel <- function(x, ...) { #' @rdname spark.randomForest #' @aliases summary,RandomForestClassificationModel-method -#' @export #' @note summary(RandomForestClassificationModel) since 2.1.0 setMethod("summary", signature(object = "RandomForestClassificationModel"), function(object) { @@ -516,7 +497,6 @@ setMethod("summary", signature(object = "RandomForestClassificationModel"), # Prints the summary of Random Forest Classification Model #' @rdname spark.randomForest -#' @export #' @note print.summary.RandomForestClassificationModel since 2.1.0 print.summary.RandomForestClassificationModel <- function(x, ...) { print.summary.treeEnsemble(x) @@ -529,7 +509,6 @@ print.summary.RandomForestClassificationModel <- function(x, ...) { #' "prediction". #' @rdname spark.randomForest #' @aliases predict,RandomForestRegressionModel-method -#' @export #' @note predict(RandomForestRegressionModel) since 2.1.0 setMethod("predict", signature(object = "RandomForestRegressionModel"), function(object, newData) { @@ -538,7 +517,6 @@ setMethod("predict", signature(object = "RandomForestRegressionModel"), #' @rdname spark.randomForest #' @aliases predict,RandomForestClassificationModel-method -#' @export #' @note predict(RandomForestClassificationModel) since 2.1.0 setMethod("predict", signature(object = "RandomForestClassificationModel"), function(object, newData) { @@ -554,7 +532,6 @@ setMethod("predict", signature(object = "RandomForestClassificationModel"), #' #' @aliases write.ml,RandomForestRegressionModel,character-method #' @rdname spark.randomForest -#' @export #' @note write.ml(RandomForestRegressionModel, character) since 2.1.0 setMethod("write.ml", signature(object = "RandomForestRegressionModel", path = "character"), function(object, path, overwrite = FALSE) { @@ -563,7 +540,6 @@ setMethod("write.ml", signature(object = "RandomForestRegressionModel", path = " #' @aliases write.ml,RandomForestClassificationModel,character-method #' @rdname spark.randomForest -#' @export #' @note write.ml(RandomForestClassificationModel, character) since 2.1.0 setMethod("write.ml", signature(object = "RandomForestClassificationModel", path = "character"), function(object, path, overwrite = FALSE) { @@ -617,7 +593,6 @@ setMethod("write.ml", signature(object = "RandomForestClassificationModel", path #' @return \code{spark.decisionTree} returns a fitted Decision Tree model. #' @rdname spark.decisionTree #' @name spark.decisionTree -#' @export #' @examples #' \dontrun{ #' # fit a Decision Tree Regression Model @@ -690,7 +665,6 @@ setMethod("spark.decisionTree", signature(data = "SparkDataFrame", formula = "fo #' trees). #' @rdname spark.decisionTree #' @aliases summary,DecisionTreeRegressionModel-method -#' @export #' @note summary(DecisionTreeRegressionModel) since 2.3.0 setMethod("summary", signature(object = "DecisionTreeRegressionModel"), function(object) { @@ -704,7 +678,6 @@ setMethod("summary", signature(object = "DecisionTreeRegressionModel"), #' @param x summary object of Decision Tree regression model or classification model #' returned by \code{summary}. #' @rdname spark.decisionTree -#' @export #' @note print.summary.DecisionTreeRegressionModel since 2.3.0 print.summary.DecisionTreeRegressionModel <- function(x, ...) { print.summary.decisionTree(x) @@ -714,7 +687,6 @@ print.summary.DecisionTreeRegressionModel <- function(x, ...) { #' @rdname spark.decisionTree #' @aliases summary,DecisionTreeClassificationModel-method -#' @export #' @note summary(DecisionTreeClassificationModel) since 2.3.0 setMethod("summary", signature(object = "DecisionTreeClassificationModel"), function(object) { @@ -726,7 +698,6 @@ setMethod("summary", signature(object = "DecisionTreeClassificationModel"), # Prints the summary of Decision Tree Classification Model #' @rdname spark.decisionTree -#' @export #' @note print.summary.DecisionTreeClassificationModel since 2.3.0 print.summary.DecisionTreeClassificationModel <- function(x, ...) { print.summary.decisionTree(x) @@ -739,7 +710,6 @@ print.summary.DecisionTreeClassificationModel <- function(x, ...) { #' "prediction". #' @rdname spark.decisionTree #' @aliases predict,DecisionTreeRegressionModel-method -#' @export #' @note predict(DecisionTreeRegressionModel) since 2.3.0 setMethod("predict", signature(object = "DecisionTreeRegressionModel"), function(object, newData) { @@ -748,7 +718,6 @@ setMethod("predict", signature(object = "DecisionTreeRegressionModel"), #' @rdname spark.decisionTree #' @aliases predict,DecisionTreeClassificationModel-method -#' @export #' @note predict(DecisionTreeClassificationModel) since 2.3.0 setMethod("predict", signature(object = "DecisionTreeClassificationModel"), function(object, newData) { @@ -764,7 +733,6 @@ setMethod("predict", signature(object = "DecisionTreeClassificationModel"), #' #' @aliases write.ml,DecisionTreeRegressionModel,character-method #' @rdname spark.decisionTree -#' @export #' @note write.ml(DecisionTreeRegressionModel, character) since 2.3.0 setMethod("write.ml", signature(object = "DecisionTreeRegressionModel", path = "character"), function(object, path, overwrite = FALSE) { @@ -773,7 +741,6 @@ setMethod("write.ml", signature(object = "DecisionTreeRegressionModel", path = " #' @aliases write.ml,DecisionTreeClassificationModel,character-method #' @rdname spark.decisionTree -#' @export #' @note write.ml(DecisionTreeClassificationModel, character) since 2.3.0 setMethod("write.ml", signature(object = "DecisionTreeClassificationModel", path = "character"), function(object, path, overwrite = FALSE) { http://git-wip-us.apache.org/repos/asf/spark/blob/4586eada/R/pkg/R/mllib_utils.R ---------------------------------------------------------------------- diff --git a/R/pkg/R/mllib_utils.R b/R/pkg/R/mllib_utils.R index a53c92c..7d04bff 100644 --- a/R/pkg/R/mllib_utils.R +++ b/R/pkg/R/mllib_utils.R @@ -31,7 +31,6 @@ #' MLlib model below. #' @rdname write.ml #' @name write.ml -#' @export #' @seealso \link{spark.als}, \link{spark.bisectingKmeans}, \link{spark.decisionTree}, #' @seealso \link{spark.gaussianMixture}, \link{spark.gbt}, #' @seealso \link{spark.glm}, \link{glm}, \link{spark.isoreg}, @@ -48,7 +47,6 @@ NULL #' MLlib model below. #' @rdname predict #' @name predict -#' @export #' @seealso \link{spark.als}, \link{spark.bisectingKmeans}, \link{spark.decisionTree}, #' @seealso \link{spark.gaussianMixture}, \link{spark.gbt}, #' @seealso \link{spark.glm}, \link{glm}, \link{spark.isoreg}, @@ -75,7 +73,6 @@ predict_internal <- function(object, newData) { #' @return A fitted MLlib model. #' @rdname read.ml #' @name read.ml -#' @export #' @seealso \link{write.ml} #' @examples #' \dontrun{ http://git-wip-us.apache.org/repos/asf/spark/blob/4586eada/R/pkg/R/schema.R ---------------------------------------------------------------------- diff --git a/R/pkg/R/schema.R b/R/pkg/R/schema.R index 65f4187..9831fc3 100644 --- a/R/pkg/R/schema.R +++ b/R/pkg/R/schema.R @@ -29,7 +29,6 @@ #' @param ... additional structField objects #' @return a structType object #' @rdname structType -#' @export #' @examples #'\dontrun{ #' schema <- structType(structField("a", "integer"), structField("c", "string"), @@ -49,7 +48,6 @@ structType <- function(x, ...) { #' @rdname structType #' @method structType jobj -#' @export structType.jobj <- function(x, ...) { obj <- structure(list(), class = "structType") obj$jobj <- x @@ -59,7 +57,6 @@ structType.jobj <- function(x, ...) { #' @rdname structType #' @method structType structField -#' @export structType.structField <- function(x, ...) { fields <- list(x, ...) if (!all(sapply(fields, inherits, "structField"))) { @@ -76,7 +73,6 @@ structType.structField <- function(x, ...) { #' @rdname structType #' @method structType character -#' @export structType.character <- function(x, ...) { if (!is.character(x)) { stop("schema must be a DDL-formatted string.") @@ -119,7 +115,6 @@ print.structType <- function(x, ...) { #' @param ... additional argument(s) passed to the method. #' @return A structField object. #' @rdname structField -#' @export #' @examples #'\dontrun{ #' field1 <- structField("a", "integer") @@ -137,7 +132,6 @@ structField <- function(x, ...) { #' @rdname structField #' @method structField jobj -#' @export structField.jobj <- function(x, ...) { obj <- structure(list(), class = "structField") obj$jobj <- x @@ -212,7 +206,6 @@ checkType <- function(type) { #' @param type The data type of the field #' @param nullable A logical vector indicating whether or not the field is nullable #' @rdname structField -#' @export structField.character <- function(x, type, nullable = TRUE, ...) { if (class(x) != "character") { stop("Field name must be a string.") http://git-wip-us.apache.org/repos/asf/spark/blob/4586eada/R/pkg/R/sparkR.R ---------------------------------------------------------------------- diff --git a/R/pkg/R/sparkR.R b/R/pkg/R/sparkR.R index 965471f..a480ac6 100644 --- a/R/pkg/R/sparkR.R +++ b/R/pkg/R/sparkR.R @@ -35,7 +35,6 @@ connExists <- function(env) { #' Also terminates the backend this R session is connected to. #' @rdname sparkR.session.stop #' @name sparkR.session.stop -#' @export #' @note sparkR.session.stop since 2.0.0 sparkR.session.stop <- function() { env <- .sparkREnv @@ -84,7 +83,6 @@ sparkR.session.stop <- function() { #' @rdname sparkR.session.stop #' @name sparkR.stop -#' @export #' @note sparkR.stop since 1.4.0 sparkR.stop <- function() { sparkR.session.stop() @@ -103,7 +101,6 @@ sparkR.stop <- function() { #' @param sparkPackages Character vector of package coordinates #' @seealso \link{sparkR.session} #' @rdname sparkR.init-deprecated -#' @export #' @examples #'\dontrun{ #' sc <- sparkR.init("local[2]", "SparkR", "/home/spark") @@ -270,7 +267,6 @@ sparkR.sparkContext <- function( #' @param jsc The existing JavaSparkContext created with SparkR.init() #' @seealso \link{sparkR.session} #' @rdname sparkRSQL.init-deprecated -#' @export #' @examples #'\dontrun{ #' sc <- sparkR.init() @@ -298,7 +294,6 @@ sparkRSQL.init <- function(jsc = NULL) { #' @param jsc The existing JavaSparkContext created with SparkR.init() #' @seealso \link{sparkR.session} #' @rdname sparkRHive.init-deprecated -#' @export #' @examples #'\dontrun{ #' sc <- sparkR.init() @@ -347,7 +342,6 @@ sparkRHive.init <- function(jsc = NULL) { #' @param enableHiveSupport enable support for Hive, fallback if not built with Hive support; once #' set, this cannot be turned off on an existing session #' @param ... named Spark properties passed to the method. -#' @export #' @examples #'\dontrun{ #' sparkR.session() @@ -442,7 +436,6 @@ sparkR.session <- function( #' @return the SparkUI URL, or NA if it is disabled, or not started. #' @rdname sparkR.uiWebUrl #' @name sparkR.uiWebUrl -#' @export #' @examples #'\dontrun{ #' sparkR.session() http://git-wip-us.apache.org/repos/asf/spark/blob/4586eada/R/pkg/R/stats.R ---------------------------------------------------------------------- diff --git a/R/pkg/R/stats.R b/R/pkg/R/stats.R index c8af798..497f18c 100644 --- a/R/pkg/R/stats.R +++ b/R/pkg/R/stats.R @@ -37,7 +37,6 @@ setOldClass("jobj") #' @name crosstab #' @aliases crosstab,SparkDataFrame,character,character-method #' @family stat functions -#' @export #' @examples #' \dontrun{ #' df <- read.json("/path/to/file.json") @@ -63,7 +62,6 @@ setMethod("crosstab", #' @rdname cov #' @aliases cov,SparkDataFrame-method #' @family stat functions -#' @export #' @examples #' #' \dontrun{ @@ -92,7 +90,6 @@ setMethod("cov", #' @name corr #' @aliases corr,SparkDataFrame-method #' @family stat functions -#' @export #' @examples #' #' \dontrun{ @@ -124,7 +121,6 @@ setMethod("corr", #' @name freqItems #' @aliases freqItems,SparkDataFrame,character-method #' @family stat functions -#' @export #' @examples #' \dontrun{ #' df <- read.json("/path/to/file.json") @@ -168,7 +164,6 @@ setMethod("freqItems", signature(x = "SparkDataFrame", cols = "character"), #' @name approxQuantile #' @aliases approxQuantile,SparkDataFrame,character,numeric,numeric-method #' @family stat functions -#' @export #' @examples #' \dontrun{ #' df <- read.json("/path/to/file.json") @@ -205,7 +200,6 @@ setMethod("approxQuantile", #' @aliases sampleBy,SparkDataFrame,character,list,numeric-method #' @name sampleBy #' @family stat functions -#' @export #' @examples #'\dontrun{ #' df <- read.json("/path/to/file.json") http://git-wip-us.apache.org/repos/asf/spark/blob/4586eada/R/pkg/R/streaming.R ---------------------------------------------------------------------- diff --git a/R/pkg/R/streaming.R b/R/pkg/R/streaming.R index 8390bd5..fc83463 100644 --- a/R/pkg/R/streaming.R +++ b/R/pkg/R/streaming.R @@ -28,7 +28,6 @@ NULL #' @seealso \link{read.stream} #' #' @param ssq A Java object reference to the backing Scala StreamingQuery -#' @export #' @note StreamingQuery since 2.2.0 #' @note experimental setClass("StreamingQuery", @@ -45,7 +44,6 @@ streamingQuery <- function(ssq) { } #' @rdname show -#' @export #' @note show(StreamingQuery) since 2.2.0 setMethod("show", "StreamingQuery", function(object) { @@ -70,7 +68,6 @@ setMethod("show", "StreamingQuery", #' @aliases queryName,StreamingQuery-method #' @family StreamingQuery methods #' @seealso \link{write.stream} -#' @export #' @examples #' \dontrun{ queryName(sq) } #' @note queryName(StreamingQuery) since 2.2.0 @@ -85,7 +82,6 @@ setMethod("queryName", #' @name explain #' @aliases explain,StreamingQuery-method #' @family StreamingQuery methods -#' @export #' @examples #' \dontrun{ explain(sq) } #' @note explain(StreamingQuery) since 2.2.0 @@ -104,7 +100,6 @@ setMethod("explain", #' @name lastProgress #' @aliases lastProgress,StreamingQuery-method #' @family StreamingQuery methods -#' @export #' @examples #' \dontrun{ lastProgress(sq) } #' @note lastProgress(StreamingQuery) since 2.2.0 @@ -129,7 +124,6 @@ setMethod("lastProgress", #' @name status #' @aliases status,StreamingQuery-method #' @family StreamingQuery methods -#' @export #' @examples #' \dontrun{ status(sq) } #' @note status(StreamingQuery) since 2.2.0 @@ -150,7 +144,6 @@ setMethod("status", #' @name isActive #' @aliases isActive,StreamingQuery-method #' @family StreamingQuery methods -#' @export #' @examples #' \dontrun{ isActive(sq) } #' @note isActive(StreamingQuery) since 2.2.0 @@ -177,7 +170,6 @@ setMethod("isActive", #' @name awaitTermination #' @aliases awaitTermination,StreamingQuery-method #' @family StreamingQuery methods -#' @export #' @examples #' \dontrun{ awaitTermination(sq, 10000) } #' @note awaitTermination(StreamingQuery) since 2.2.0 @@ -202,7 +194,6 @@ setMethod("awaitTermination", #' @name stopQuery #' @aliases stopQuery,StreamingQuery-method #' @family StreamingQuery methods -#' @export #' @examples #' \dontrun{ stopQuery(sq) } #' @note stopQuery(StreamingQuery) since 2.2.0 http://git-wip-us.apache.org/repos/asf/spark/blob/4586eada/R/pkg/R/utils.R ---------------------------------------------------------------------- diff --git a/R/pkg/R/utils.R b/R/pkg/R/utils.R index 164cd6d..f1b5eca 100644 --- a/R/pkg/R/utils.R +++ b/R/pkg/R/utils.R @@ -108,7 +108,6 @@ isRDD <- function(name, env) { #' #' @param key the object to be hashed #' @return the hash code as an integer -#' @export #' @examples #'\dontrun{ #' hashCode(1L) # 1 http://git-wip-us.apache.org/repos/asf/spark/blob/4586eada/R/pkg/R/window.R ---------------------------------------------------------------------- diff --git a/R/pkg/R/window.R b/R/pkg/R/window.R index 0799d84..396b27b 100644 --- a/R/pkg/R/window.R +++ b/R/pkg/R/window.R @@ -29,7 +29,6 @@ #' @rdname windowPartitionBy #' @name windowPartitionBy #' @aliases windowPartitionBy,character-method -#' @export #' @examples #' \dontrun{ #' ws <- orderBy(windowPartitionBy("key1", "key2"), "key3") @@ -52,7 +51,6 @@ setMethod("windowPartitionBy", #' @rdname windowPartitionBy #' @name windowPartitionBy #' @aliases windowPartitionBy,Column-method -#' @export #' @note windowPartitionBy(Column) since 2.0.0 setMethod("windowPartitionBy", signature(col = "Column"), @@ -78,7 +76,6 @@ setMethod("windowPartitionBy", #' @rdname windowOrderBy #' @name windowOrderBy #' @aliases windowOrderBy,character-method -#' @export #' @examples #' \dontrun{ #' ws <- windowOrderBy("key1", "key2") @@ -101,7 +98,6 @@ setMethod("windowOrderBy", #' @rdname windowOrderBy #' @name windowOrderBy #' @aliases windowOrderBy,Column-method -#' @export #' @note windowOrderBy(Column) since 2.0.0 setMethod("windowOrderBy", signature(col = "Column"), --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For 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