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Releases: dataiku/dss-plugin-timeseries-forecast

Version 1.2.1 - Deprecation

11 Aug 17:03
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The plugin is now deprecated because the forecasting features are now native to DSS since v11.

Version 1.2.0 - New features

22 Dec 17:30
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Merge pull request #66 from dataiku/feature/1.2-forecast-new-data

Release 1.2

Version 1.1.0 - New feature and bugfix release

29 Apr 17:37
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  • ✨ Added Python 3.7 support (introduced in DSS 9.0)
  • 🪲 Fixed wrong default value for the end of week frequency

Version 1.0.1 - Bugfix release

02 Mar 11:42
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  • 🪲 Bugfix with the FeedForward model when using external features of different lengths
  • 💅 Small naming and logging enhancements

Version 1.0.0 - Initial release

08 Feb 11:15
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  • 🔥 Multivariate forecasting, scaling to 1000s of time series
  • 😎 Deep Learning models from GluonTS (DeepAR, Transformer, ...)
  • 🗓 Frequencies from year to minute, inc. business day
  • 🐍 Easy-to-install code environment in Python
  • 👾 GPU version to train your models even faster

Version 1.0.0 - Release Candidate 2

04 Feb 17:12
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Merge pull request #53 from dataiku/feature/seasonal-models

add stl model and season length parameter

Version 1.0.0 - Release Candidate 1

29 Jan 17:31
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v1.0.0-rc1

Merge branch 'release/1.0'

Version 1.0.0 - Beta 3

26 Jan 09:03
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Merge pull request #43 from dataiku/feature/default-key-value-param

Feature/default key value param

Version 1.0.0 - Beta 2

18 Jan 10:57
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Apply suggestions from code review

Co-authored-by: StanislasGuinel <[email protected]>

Version 1.0.0 - Beta 1

15 Jan 18:12
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Merge pull request #36 from dataiku/feature/data-preparation

Feature/data preparation