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Releases: Nixtla/datasetsforecast

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

  • [FEAT] Add horizon to hierarchical datasets by @FedericoGarza in #1
  • feat: add tags to hier datasets by @FedericoGarza in #2
  • fix: traffic tags by @FedericoGarza in #4
  • [FEAT] Add test size for hierarchical datasets by @FedericoGarza in #5
  • fix: labour covid and wiki2 horizon by @FedericoGarza in #6

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 🎉 🌮 .