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Releases: Nixtla/datasetsforecast

v1.0.1

24 Feb 16:10
e122ff8

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Features

Bug fixes

Documentation

v1.0.0

06 Dec 00:11
d57ed32

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New Features

  • [FEAT] Complete ETTh1/ETTh2/ETTm1 and option for unnormalized datasets. @kdgutier (#25)
  • [FEAT] OldHierarchical + Favorita datasets @kdgutier (#24)
  • Added PHM2008 dataset @kdgutier (#21)

Breaking Change

Documentation

Enhancement

v0.0.8

14 Mar 00:23

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What's Changed

  • [FEAT] Add distributed forecasts evaluation in #16. The new version includes the accuracy function (inspired by fable) to compute different metrics for different aggregations. This new function can also evaluate spark, dask, and ray dataframes.
  • [FEAT] Add hierarchical data tests in #18. In #15 was pointed out that the Labour summing matrix was wrong. The dataset was updated with the right one, and tests were added to ensure the summing matrix is right.

Full Changelog: v0.0.7...v0.0.8

v0.0.7

24 Oct 18:46

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What's Changed

  • use provision-with-micromamba action in #11
  • support async downloads in #10
  • add M4 dataset and loss functions in #12
  • [FEAT] Add M5 dataset in #14

New Contributors

Full Changelog: v0.0.6...v0.0.7

v0.0.6

13 Sep 21:35

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What's Changed

  • [FEAT] M3 dataset in #7
  • [FEAT] nbdev2 in #8
  • [FEAT] Add long horizon dataset in #9

Full Changelog: v0.0.5...v0.0.6

v0.0.5

15 Jul 17:21

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What's Changed

Full Changelog: v0.0.3...v0.0.5

v0.0.3

21 Jun 23:20

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Full Changelog: v0.0.2...v0.0.3

  • Export HierarchicalData

v0.0.2

21 Jun 23:03

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Full Changelog: v0.0.1...v0.0.2

v0.0.1

21 Jun 22:57

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The first release of DatasetsForecast 🎉 🌮 .