https://github.com/nixtla/datasetsforecast - v1.0.0

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

• remove losses and evaluation modules @jmoralez (#33)

Documentation

• Create CODEOFCONDUCT.md @tracykteal (#38)
• update readme @jmoralez (#35)
• add index @jmoralez (#32)

Enhancement

• remove numba dependency @jmoralez (#34)

- Python
Published by github-actions[bot] over 1 year ago

https://github.com/nixtla/datasetsforecast - v0.0.8

What's Changed

• [FEAT] Add distributed forecasts evaluation in https://github.com/Nixtla/datasetsforecast/pull/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 https://github.com/Nixtla/datasetsforecast/pull/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: https://github.com/Nixtla/datasetsforecast/compare/v0.0.7...v0.0.8

- Python
Published by AzulGarza almost 3 years ago

https://github.com/nixtla/datasetsforecast - v0.0.7

What's Changed

• use provision-with-micromamba action in https://github.com/Nixtla/datasetsforecast/pull/11
• support async downloads in https://github.com/Nixtla/datasetsforecast/pull/10
• add M4 dataset and loss functions in https://github.com/Nixtla/datasetsforecast/pull/12
• [FEAT] Add M5 dataset in https://github.com/Nixtla/datasetsforecast/pull/14

New Contributors

• @jmoralez made their first contribution in https://github.com/Nixtla/datasetsforecast/pull/11

Full Changelog: https://github.com/Nixtla/datasetsforecast/compare/v0.0.6...v0.0.7

- Python
Published by AzulGarza over 3 years ago

https://github.com/nixtla/datasetsforecast - v0.0.6

What's Changed

• [FEAT] M3 dataset in https://github.com/Nixtla/datasetsforecast/pull/7
• [FEAT] nbdev2 in https://github.com/Nixtla/datasetsforecast/pull/8
• [FEAT] Add long horizon dataset in https://github.com/Nixtla/datasetsforecast/pull/9

Full Changelog: https://github.com/Nixtla/datasetsforecast/compare/v0.0.5...v0.0.6

- Python
Published by AzulGarza over 3 years ago

https://github.com/nixtla/datasetsforecast - v0.0.5

What's Changed

• [FEAT] Add horizon to hierarchical datasets by @FedericoGarza in https://github.com/Nixtla/datasetsforecast/pull/1
• feat: add tags to hier datasets by @FedericoGarza in https://github.com/Nixtla/datasetsforecast/pull/2
• fix: traffic tags by @FedericoGarza in https://github.com/Nixtla/datasetsforecast/pull/4
• [FEAT] Add test size for hierarchical datasets by @FedericoGarza in https://github.com/Nixtla/datasetsforecast/pull/5
• fix: labour covid and wiki2 horizon by @FedericoGarza in https://github.com/Nixtla/datasetsforecast/pull/6

Full Changelog: https://github.com/Nixtla/datasetsforecast/compare/v0.0.3...v0.0.5

- Python
Published by AzulGarza over 3 years ago

https://github.com/nixtla/datasetsforecast - v0.0.3

Full Changelog: https://github.com/Nixtla/datasetsforecast/compare/v0.0.2...v0.0.3

• Export HierarchicalData

- Python
Published by AzulGarza over 3 years ago

https://github.com/nixtla/datasetsforecast - v0.0.2

Full Changelog: https://github.com/Nixtla/datasetsforecast/compare/v0.0.1...v0.0.2

- Python
Published by AzulGarza over 3 years ago

https://github.com/nixtla/datasetsforecast - v0.0.1

The first release of DatasetsForecast 🎉 🌮 .

- Python
Published by AzulGarza over 3 years ago