I am using mlr3
package. I set roles of some rows to "holdout" and than trained the model:
library(mlr3)
# train on iris
task = tsk("iris")
task$nrow
task$set_row_roles(130:150, "holdout")
learner = lrn("classif.rpart")
learner$train(task)
How can I know use holdout set to make prediction on them?
# predict on holdout
task$row_roles$holdout
## HOW TO PREDICT ON HOLDOUT SET ?
# learner$predict()
You can set the row ids that you want to get the prediction for in the $predict()
method.
library(mlr3)
task = tsk("iris")
task$nrow
#> [1] 150
task$set_row_roles(130:150, "holdout")
learner = lrn("classif.rpart")
learner$train(task)
learner$predict(task, row_ids = task$row_roles$holdout)
#> <PredictionClassif> for 21 observations:
#> row_ids truth response
#> 130 virginica versicolor
#> 131 virginica virginica
#> 132 virginica virginica
#> ---
#> 148 virginica virginica
#> 149 virginica virginica
#> 150 virginica virginica
Created on 2023-02-10 with reprex v2.0.2