• Corpus ID: 39970602

mlr Tutorial

@article{Schiffner2016mlrT,
  title={mlr Tutorial},
  author={Julia Schiffner and B. Bischl and Michel Lang and Jakob Richter and Zachary M. Jones and Philipp Probst and Florian Pfisterer and Mason Gallo and Dominik Kirchhoff and Tobias K{\"u}hn and Janek Thomas and Lars Kotthoff},
  journal={ArXiv},
  year={2016},
  volume={abs/1609.06146}
}
Basics 5 Learning Tasks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Task types and creation . . . . . . . . . . . . . . . . . . . . . . . 5 Further settings . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Accessing a learning task . . . . . . . . . . . . . . . . . . . . . . 10 Modifying a learning task . . . . . . . . . . . . . . . . . . . . . . 13 Example tasks and convenience functions . . . . . . . . . . . . . 15 Learners… 

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References

SHOWING 1-2 OF 2 REFERENCES

Positive class: NA getTaskFeatureNames(iris.task.filtered)

    Petal.Width" You might also want to have a look at the source code of the filter methods already integrated in mlr for some more complex and meaningful examples