Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15051#discussion_r78315763
--- Diff: R/pkg/R/mllib.R ---
@@ -694,8 +694,8 @@ setMethod("predict", signature(object = "KMeansModel"),
#' }
#' @note spark.mlp since 2.1.0
setMethod("spark.mlp", signature(data = "SparkDataFrame"),
- function(data, blockSize = 128, layers = c(3, 5, 2), solver =
"l-bfgs", maxIter = 100,
- tol = 0.5, stepSize = 1, seed = 1) {
+ function(data, blockSize = 128, layers, solver = "l-bfgs",
maxIter = 100,
--- End diff --
all right, I will add `layers` parameter validation check and move this
parameter to front. thanks!
and, the `layers` parameters must be set because it determine the structure
of this classifier.
if we do not set `layers` or set it as a null list `c()`, training will
throw exception...
you can check the `MultilayerPerceptronClassifierSuite` input validation
test.
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