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| author | Felix Cheung <felixcheung_m@hotmail.com> | 2016-08-24 15:59:09 -0700 |
|---|---|---|
| committer | Felix Cheung <felixcheung@apache.org> | 2016-08-24 15:59:09 -0700 |
| commit | 945c04bcd439e0624232c040df529f12bcc05e13 (patch) | |
| tree | 8ec2437c971bed972c2b2bdeacf8ae9413d5e307 /R/pkg | |
| parent | 29952ed096fd2a0a19079933ff691671d6f00835 (diff) | |
| download | spark-945c04bcd439e0624232c040df529f12bcc05e13.tar.gz spark-945c04bcd439e0624232c040df529f12bcc05e13.tar.bz2 spark-945c04bcd439e0624232c040df529f12bcc05e13.zip | |
[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 <felixcheung_m@hotmail.com>
Closes #14792 from felixcheung/rdocmllib.
Diffstat (limited to 'R/pkg')
| -rw-r--r-- | R/pkg/R/mllib.R | 4 |
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 |