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feat: add function to extract information from a model #1213

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@be-marc be-marc commented Nov 20, 2024

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be-marc commented Nov 20, 2024

Closes #1013 and #899

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be-marc commented Nov 21, 2024

learner = lrn("classif.rpart")
task = tsk("iris")
resampling = rsmp("cv", folds = 3)

extractor = function(learner) list(selected_features = setdiff(learner$model$frame$var, "<leaf>"))

rr = resample(task, learner, resampling, extractor = extractor)
rr$learners[[1]]$state$selected_features

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