Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14447#discussion_r74529661
--- Diff: R/pkg/R/mllib.R ---
@@ -414,6 +421,92 @@ setMethod("predict", signature(object = "KMeansModel"),
return(dataFrame(callJMethod(object@jobj, "transform",
newData@sdf)))
})
+#' Multilayer Perceptron Classification Model
+#'
+#' \code{spark.mlp} fits a multi-layer perceptron neural network model
against a SparkDataFrame.
+#' Users can call \code{summary} to print a summary of the fitted model,
\code{predict} to make
+#' predictions on new data, and \code{write.ml}/\code{read.ml} to
save/load fitted models.
+#' Only categorical data is supported.
+#' For more details, see
+#'
\href{http://spark.apache.org/docs/latest/ml-classification-regression.html
+#' #multilayer-perceptron-classifier}{Multilayerperceptron classifier}.
+#'
+#' @param data A \code{SparkDataFrame} of observations and labels for
model fitting
+#' @param blockSize BlockSize parameter
+#' @param layers Layers parameter
--- End diff --
something like "integer vector containing the number of nodes for each
layer"
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