Repository: spark
Updated Branches:
  refs/heads/master 29952ed09 -> 945c04bcd


[MINOR][SPARKR] fix R MLlib parameter documentation

## What changes were proposed in this pull request?

Fixed several misplaced param tag - they should be on the spark.* method 
generics

## How was this patch tested?

run knitr
junyangq

Author: Felix Cheung <felixcheun...@hotmail.com>

Closes #14792 from felixcheung/rdocmllib.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/945c04bc
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/945c04bc
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/945c04bc

Branch: refs/heads/master
Commit: 945c04bcd439e0624232c040df529f12bcc05e13
Parents: 29952ed
Author: Felix Cheung <felixcheun...@hotmail.com>
Authored: Wed Aug 24 15:59:09 2016 -0700
Committer: Felix Cheung <felixche...@apache.org>
Committed: Wed Aug 24 15:59:09 2016 -0700

----------------------------------------------------------------------
 R/pkg/R/mllib.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/945c04bc/R/pkg/R/mllib.R
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diff --git a/R/pkg/R/mllib.R b/R/pkg/R/mllib.R
index a670600..dfc5a1c 100644
--- a/R/pkg/R/mllib.R
+++ b/R/pkg/R/mllib.R
@@ -444,6 +444,7 @@ setMethod("write.ml", signature(object = "LDAModel", path = 
"character"),
 #' @param featureIndex The index of the feature if \code{featuresCol} is a 
vector column
 #'                     (default: 0), no effect otherwise
 #' @param weightCol The weight column name.
+#' @param ... additional arguments passed to the method.
 #' @return \code{spark.isoreg} returns a fitted Isotonic Regression model
 #' @rdname spark.isoreg
 #' @aliases spark.isoreg,SparkDataFrame,formula-method
@@ -504,7 +505,6 @@ setMethod("predict", signature(object = 
"IsotonicRegressionModel"),
 
 #  Get the summary of an IsotonicRegressionModel model
 
-#' @param ... Other optional arguments to summary of an IsotonicRegressionModel
 #' @return \code{summary} returns the model's boundaries and prediction as 
lists
 #' @rdname spark.isoreg
 #' @aliases summary,IsotonicRegressionModel-method
@@ -1074,6 +1074,7 @@ setMethod("predict", signature(object = 
"AFTSurvivalRegressionModel"),
 #' @param k number of independent Gaussians in the mixture model.
 #' @param maxIter maximum iteration number.
 #' @param tol the convergence tolerance.
+#' @param ... additional arguments passed to the method.
 #' @aliases spark.gaussianMixture,SparkDataFrame,formula-method
 #' @return \code{spark.gaussianMixture} returns a fitted multivariate gaussian 
mixture model.
 #' @rdname spark.gaussianMixture
@@ -1117,7 +1118,6 @@ setMethod("spark.gaussianMixture", signature(data = 
"SparkDataFrame", formula =
 #  Get the summary of a multivariate gaussian mixture model
 
 #' @param object a fitted gaussian mixture model.
-#' @param ... currently not used argument(s) passed to the method.
 #' @return \code{summary} returns the model's lambda, mu, sigma and posterior.
 #' @aliases spark.gaussianMixture,SparkDataFrame,formula-method
 #' @rdname spark.gaussianMixture


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