Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Implement iTransformer as an imputation model #371

Merged
merged 1 commit into from
Apr 29, 2024
Merged

Conversation

WenjieDu
Copy link
Owner

What does this PR do?

  1. fixing Add iTransformer #366

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.

@coveralls
Copy link
Collaborator

coveralls commented Apr 29, 2024

Pull Request Test Coverage Report for Build 8877547978

Details

  • 119 of 123 (96.75%) changed or added relevant lines in 5 files are covered.
  • 1 unchanged line in 1 file lost coverage.
  • Overall coverage increased (+0.2%) to 81.872%

Changes Missing Coverage Covered Lines Changed/Added Lines %
pypots/imputation/itransformer/model.py 75 79 94.94%
Files with Coverage Reduction New Missed Lines %
pypots/clustering/vader/model.py 1 85.86%
Totals Coverage Status
Change from base Build 8877407725: 0.2%
Covered Lines: 7845
Relevant Lines: 9582

💛 - Coveralls

@WenjieDu WenjieDu merged commit a939f2a into dev Apr 29, 2024
8 of 9 checks passed
@WenjieDu WenjieDu deleted the (feat)add_itransformer branch April 29, 2024 12:25
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants