mlr3pipelines
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apply PipeOpTaskPreproc to data.frame / data.table
- Add another function, e.g.
$operate(), which uses the train_df() functions internally and accepts data.frame? (Should this set a state? Maybe$operate(df, train = TRUE)?) - Just have
$train()and$predict()accept df? - Do the same with
Graph? - have the
%>>%operator work ondfand do the necessary conversions, so thatdf %>>% po("removeconstants")works?
Things to consider:
charactercols indfoften "mean" factor-cols inTasks.