mlr3 0.10.0

• Result containers ResampleResult and BenchmarkResult now optionally remove
  the DataBackend of the Tasks in order to reduce file size and memory
  footprint after serialization. To remove the backends from the containers,
  set store_backends to FALSE in resample() or benchmark(),
  respectively. Note that this behaviour will eventually will be the default for
  future releases.
• Prediction objects generated by Learner$predict_newdata() now have row ids
  starting from 1 instead auto incrementing row ids of the training task.
• as.data.table.DictionaryTasks now returns an additional column properties.
• Added flag conditions to ResampleResult$score() and
  BenchmarkResult$score() to allow to work with failing learners more
  conveniently.