Checks a task to see if it has missing values, then checks a learner to see
if it is unable to handle missing values. If both are true, returns the
learner wrapped with makeImputeWrapper
which sets missing
values to zero and creates a 0/1 dummy column for each column on which
missings were present performed, where 1 indicates that the observation was
missing in the original column.
1 2 | autoImpute(wl, task, classes = NULL, dummy.classes = c("numeric", "integer",
"factor"), dummy.type = "numeric", ...)
|
wl |
( |
task |
( |
classes |
( |
dummy.classes |
( |
dummy.type |
( |
... |
Additional arguments to pass to |
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