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Published February 6, 2021 | Version v0.5.3
Software Open

alan-turing-institute/sktime: v0.5.3

Authors/Creators

  • 1. @UCL @alan-turing-institute @ESRC-CDRC
  • 2. University of East Anglia
  • 3. University College London
  • 4. University of East Anglia (UEA)
  • 5. @UCL
  • 6. Mercedes-Benz AG
  • 7. Humboldt Universität zu Berlin
  • 8. Nanjing University
  • 9. @ucltechsoc
  • 10. IBRAE RAN
  • 11. HelloFresh SE
  • 12. Beijing Jiaotong University
  • 13. Texas Instruments

Description

What's New Fixed
  • Fix reduced regression forecaster reference (#658) @mloning
  • Address Bug #640 (#642) @patrickzib
  • Ed knn (#638) @TonyBagnall
  • Euclidean distance for KNNs (#636) @goastler
Changed
  • Pin NumPy 1.19 (#643) @mloning
  • Update CoC committee (#614) @mloning
  • Benchmarking issue141 (#492) @ViktorKaz
  • Catch22 Refactor & Multithreading (#615) @MatthewMiddlehurst
Added
  • Create new factory method for forecasting via reduction (#635) @Lovkush-A
  • Feature ForecastingRandomizedSearchCV (#634) @pabworks
  • Added Imputer for missing values (#637) @aiwalter
  • Add expanding window splitter (#627) @koralturkk
  • Forecasting User Guide (#595) @Lovkush-A
  • Add data processing functionality to convert between data formats (#553) @RNKuhns
  • Add basic parallel support for ElasticEnsemble (#546) @xuyxu

All contributors: @Lovkush-A, @MatthewMiddlehurst, @RNKuhns, @TonyBagnall, @ViktorKaz, @aiwalter, @goastler, @koralturkk, @mloning, @pabworks, @patrickzib and @xuyxu

Files

alan-turing-institute/sktime-v0.5.3.zip

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Additional details

Related works

Is supplement to
https://github.com/alan-turing-institute/sktime/tree/v0.5.3 (URL)