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

fix flaky object detection vision notebook test by allowing range of feature cohorts to be specified #2374

Merged
merged 1 commit into from
Sep 29, 2023

Conversation

imatiach-msft
Copy link
Contributor

Description

This PR is a follow-up to:
#2341
It looks like these object detection notebook tests have become flaky again recently. The notebook seems to sometimes generate 2 and at other times 3 cohorts on linux builds when selecting mean_pixel_value in the unit tests to generate the feature cohorts for object detection - recently it seems to have switched back due to some environment difference and the builds aren't passing again. This seems to be a numerical difference caused by the packages installed. Due to the flakiness, I've made the UI tests more robust by checking for a range of cohorts on linux instead of a single value.

Checklist

  • I have added screenshots above for all UI changes.
  • I have added e2e tests for all UI changes.
  • Documentation was updated if it was needed.

@imatiach-msft imatiach-msft merged commit 295b8e4 into main Sep 29, 2023
@imatiach-msft imatiach-msft deleted the ilmat/fix-flaky-ui-tests branch September 29, 2023 05:10
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