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Setting a fallback learner for a learner with encapsulation in its default
settings now automatically sets encapsulation to "evaluate" (#763).
as_task_classif() and as_task_regr() now support the construction of tasks
using the formula interface, e.g. as_task_regr(mpg ~ ., data = mtcars)
(#761).
The row role "validation" has been renamed to "holdout".
In the next release, mlr3 will start switching to the now more common terms "train"/"validation" instead of "train"/"test" for the sets created
during resampling.