mlr v2.19.0

Basics
- Task
- Learner
- Train
- Predict
- Preprocessing
- Tuning
- Resampling
- Benchmarking
- Parallelization
- Performance
- Visualization
- Use case - Regression
Advanced
Extending
Appendix
Reference

Learner for kernel classification for functional data.

Source: R/RLearner_classif_fdausc.kernel.R

makeRLearner.classif.fdausc.kernel.Rd

Learner for kernel Classification.

# S3 method for classif.fdausc.kernel
makeRLearner()

Contents

Developed by Bernd Bischl, Michel Lang, Lars Kotthoff, Patrick Schratz, Julia Schiffner, Jakob Richter, Zachary Jones, Giuseppe Casalicchio, Mason Gallo.

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