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-rw-r--r--R/pkg/R/mllib.R4
1 files changed, 2 insertions, 2 deletions
diff --git a/R/pkg/R/mllib.R b/R/pkg/R/mllib.R
index a670600ca6..dfc5a1c7df 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