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mlr 2.17.0 source code.tar.gz 2020-01-10 49.7 MB
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README.md 2020-01-10 1.7 kB
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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)
Source: README.md, updated 2020-01-10