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example:
library(mlr) train <- DALEX::HR[1:100,] train$fired <- ifelse(train$status == "fired", 1, 0) train <- train[,-6] # prepare mlr model task <- mlr::makeRegrTask(id = "task", data = train, target = "fired") learner <- mlr::makeLearner("regr.randomForest", par.vals = list(ntree = 300), predict.type = "response") model <- mlr::train(learner, task) model$learner$package
The text was updated successfully, but these errors were encountered:
@maksymiuks it would be great to add this feature for the release fall 2019
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done in 67dafea
maksymiuks
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example:
The text was updated successfully, but these errors were encountered: