mlrCPO

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Is there a CPO where I can just write something like cpoSelect(sel.statement = function(x) is.numeric(x) && !any(is.na(x))) and sel.statement just gets lapplied on the columns?

Currently the way to select columns is only via cpoSelect(type = "numeric"); dropping columns with missing values is not supported right now. I will try to make this nicer, probably together with "slices" (see #38)

In the mean time, a quick and dirty implementation of this would be

library("BBmisc")
cpoSelectFunctional = makeCPO("select.functional",
  pSS(selector: funct),
  dataformat = "df.features",
  properties.adding = c("numerics.sometimes", "factors.sometimes",
    "ordered.sometimes", "missings.sometimes"),
  cpo.train = {
    vlapply(data, selector)
  },
  cpo.retrafo = {
    data[control]
  })

Thanks. That's a nice start. If you want, you can close this issue.