Is it possible to remove incomplete observation within a task --- task <- TaskRegr$new("data", data, "y")
--- using mlr3
filters or pipeops?
mlr3 - how to remove incomplete observations using `mlr3` interface
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I don't think there is a preprocessing operator for removing observations.
What I would do is to use
filter
method within a Task.Example:
complete.cases
gives a Boolean vector that indicates which rows contain complete observations (no NA's).filter
subsets task's data by row ids provided in the parameter. Row ids not given in the parameter are removed in-place.If you want to instead impute incomplete observations, there are a few imputation operators like PipeOpImputeConstant that impute features by a constant.