Deep_SVDD to pytorch - Githubissues

yzhao062 / pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

BSD 2-Clause "Simplified" License

8.48k stars 1.36k forks source link

All Submissions Basics:

[ ] Have you followed the guidelines in our Contributing document?
[ ] Have you checked to ensure there aren't other open Pull Requests for the same update/change?
[ ] Have you checked all Issues to tie the PR to a specific one?

All Submissions Cores:

[ ] Have you added an explanation of what your changes do and why you'd like us to include them?
[ ] Have you written new tests for your core changes, as applicable?
[ ] Have you successfully ran tests with your changes locally?
[ ] Does your submission pass tests, including CircleCI, Travis CI, and AppVeyor?
[ ] Does your submission have appropriate code coverage? The cutoff threshold is 95% by Coversall.

New Model Submissions:

[ ] Have you created a .py in ~/pyod/models/?
[ ] Have you created a _example.py in ~/examples/?
[ ] Have you created a test_.py in ~/pyod/test/?
[ ] Have you lint your code locally prior to submission?

Pull Request Test Coverage Report for Build 9279726091

Warning: This coverage report may be inaccurate.

This pull request's base commit is no longer the HEAD commit of its target branch. This means it includes changes from outside the original pull request, including, potentially, unrelated coverage changes.

Details

90 of 90 (100.0%) changed or added relevant lines in 2 files are covered.

No unchanged relevant lines lost coverage.

Overall coverage increased (+0.1%) to 93.853%

Totals
Change from base Build 8309419980:	0.1%
Covered Lines:	9008
Relevant Lines:	9598

Totals

Change from base Build 8309419980:

0.1%

Covered Lines:

9008

Relevant Lines:

9598