mlr 2.17.0

plotting

• n.show argument had no effect in plotFilterValues(). Thanks @albersonmiranda. (#2689)

Functional Data

PR: #2638 (@pfistl)

• Added several learners for regression and classification on functional data

  • classif.classiFunc.(kernel|knn) (knn/kernel using various semi-metrics)
  • (classif|regr).fgam (Functional generalized additive models)
  • (classif|regr).FDboost (Boosted functional generalized additive models)

• Added preprocessing steps for feature extraction from functional data

  • extractFDAFourier (Fourier transform)
  • extractFDAWavelets (Wavelet features)
  • extractFDAFPCA (Principal components)
  • extractFDATsfeatures (Time-Series features from tsfeatures package)
  • extractFDADTWKernel (Dynamic Time-Warping Kernel)
  • extractFDAMultiResFeatures (Compute features at multiple resolutions)

• Fixed a bug where multiclass to binaryclass reduction techniques did not work
  with functional data.

• Several other minor bug fixes and code improvements

• Extended and clarified documentation for several fda components.

learners - general

• xgboost: added options 'auto', 'approx' and 'gpu_hist' to param tree_method (@albersonmiranda, #2701)

filters - general

• Allow a custom threholding function to be passed to filterFeatures and makeFilterWrapper (@annette987, #2686)
• Allow ensemble filters to include multiple base filters of the same type (@annette987, #2688)

filters - bugfixes

• filterFeatures(): Arg thresh was not working correctly when applied to ensemble filters. (@annette987, #2699)
• Fixed incorrect ranking of ensemble filters. Thanks @annette987 (#2698)