See title.

subsetTask(task, subset = NULL, features)



The task.


(integer | logical | NULL)
Selected cases. Either a logical or an index vector. By default NULL if all observations are used.


(character | integer | logical)
Vector of selected inputs. You can either pass a character vector with the feature names, a vector of indices, or a logical vector.
In case of an index vector each element denotes the position of the feature name returned by getTaskFeatureNames.
Note that the target feature is always included in the resulting task, you should not pass it here. Default is to use all features.


(Task). Task with subsetted data.

See also


task = makeClassifTask(data = iris, target = "Species") subsetTask(task, subset = 1:100)
#> Supervised task: iris #> Type: classif #> Target: Species #> Observations: 100 #> Features: #> numerics factors ordered functionals #> 4 0 0 0 #> Missings: FALSE #> Has weights: FALSE #> Has blocking: FALSE #> Has coordinates: FALSE #> Classes: 3 #> setosa versicolor virginica #> 50 50 0 #> Positive class: NA