Github user WeichenXu123 commented on a diff in the pull request: https://github.com/apache/spark/pull/15051#discussion_r79297392 --- Diff: R/pkg/R/mllib.R --- @@ -694,8 +694,14 @@ 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, layers, blockSize = 128, solver = "l-bfgs", maxIter = 100, + tol = 1E-6, stepSize = 0.03, seed = 0x7FFFFFFF) { + if (length(layers) <= 1) { + stop("layers vector require length > 0.") + } + if (any(sapply(layers, function(e) !is.numeric(e)))) { --- End diff -- oh, its a clever way using `as.intege(x) != x` to check whether it is an integer. here the mlp require layers to be integer vector, is it better to force user pass integer vector, if not call `stop`, or just print a warning ?
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