feat: offset column role in Task #1225
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sebffischer
reviewed
Jan 24, 2025
| stopf("Offset column(s) %s must be a numeric or integer column", paste0("'", new_roles[["offset"]], "'", collapse = ",")) | ||
| } | ||
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| if (any(task$missings(cols = new_roles[["offset"]]) > 0)) { |
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Maybe use a shorter circuit (something like mlr3misc::some)
bblodfon
commented
Jan 31, 2025
| @@ -4,10 +4,12 @@ | |||
| #' The following properties are currently standardized and understood by learners in \CRANpkg{mlr3}: | |||
| #' * `"missings"`: The learner can handle missing values in the data. | |||
| #' * `"weights"`: The learner supports observation weights. | |||
| #' * `"offset"`: The learner can incorporate offset values to adjust predictions. | |||
| #' * `"importance"`: The learner supports extraction of importance scores, i.e. comes with an `$importance()` extractor function (see section on optional extractors in [Learner]). | |||
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@be-marc here hotstart_forward, hotstart_backward and featureless are not documented, but they should be perhaps?
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offsetfor mlr3 learnersxgboostinmlr3learnersuses this now mlr3learners PR