src/test/scripts/functions/builtin/mice.dml

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X = read($X, data_type="frame", format="csv");
M = read($Mask)
[dataset, singleSet]= mice(F=X, cMask=M, iter=$iteration, complete=$com, verbose = FALSE)

if(sum(M) == ncol(X))
{
  c = as.matrix(singleSet[,3:4]) # comparing only selected columns with R results because dataset is continuos and
  write(c, $dataC)               # for categorical imputation R polyreg only support upto 50 distinct items (50 categories/feature)
}
else if (sum(M) == 0)
{
  n = as.matrix(dataset) * (1-M)
  n = removeEmpty(target=n, margin = "cols")
  write(n, $dataN)
}
else
{
  c = as.matrix(dataset) * (M)
  c = removeEmpty(target=c, margin = "cols")
  n = as.matrix(dataset) * (1-M)
  n = removeEmpty(target=n, margin = "cols")
  write(n, $dataN)
  write(c, $dataC)
}