Github user WeichenXu123 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/15051#discussion_r79361373
  
    --- Diff: R/pkg/R/mllib.R ---
    @@ -695,17 +695,15 @@ setMethod("predict", signature(object = 
"KMeansModel"),
     #' @note spark.mlp since 2.1.0
     setMethod("spark.mlp", signature(data = "SparkDataFrame"),
               function(data, layers, blockSize = 128, solver = "l-bfgs", 
maxIter = 100,
    -                   tol = 1E-6, stepSize = 0.03, seed = 0x7FFFFFFF) {
    +                   tol = 1E-6, stepSize = 0.03, seed = "") {
    --- End diff --
    
    @felixcheung 
    Oh...here is the problem, if the parameter is integer passed in, some 
integer exceed MAX_32bit_INT may turn into numeric, for example 
1000000000000000L became 1e+15.
    so how to resolve this problem properly ?


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