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Release v0.4, apply SAITS embedding strategy to the newly added models, and update README #344

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merged 2 commits into from
Apr 9, 2024

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WenjieDu
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@WenjieDu WenjieDu commented Apr 9, 2024

What does this PR do?

  1. apply SAITS embedding strategy to the newly added models as we discussed in New Model #295;
  2. update README;
  3. release v0.4;

Before submitting

  • This PR is made to fix a typo or improve the docs (you can dismiss the other checks if this is the case).
  • Was this discussed/approved via a GitHub issue? Please add a link to it if that's the case.
  • I have commented my code, particularly in hard-to-understand areas.
  • I have written necessary tests and already run them locally.

WenjieDu added 2 commits April 9, 2024 19:32
* feat: make Crossformer, PatchTST, DLinear, ETSformer, FEDformer, Informer, Autoformer take the missing mask as a part of input;

* refactor: separate n_steps of K and Q, this is necessary for Crossformer;
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coveralls commented Apr 9, 2024

Pull Request Test Coverage Report for Build 8615956810

Details

  • 80 of 81 (98.77%) changed or added relevant lines in 11 files are covered.
  • No unchanged relevant lines lost coverage.
  • Overall coverage increased (+0.2%) to 81.03%

Changes Missing Coverage Covered Lines Changed/Added Lines %
pypots/imputation/dlinear/modules/core.py 33 34 97.06%
Totals Coverage Status
Change from base Build 8607870864: 0.2%
Covered Lines: 6847
Relevant Lines: 8450

💛 - Coveralls

@WenjieDu WenjieDu merged commit eb03a15 into main Apr 9, 2024
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2 participants