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fix: fix deep-learning test flakiness #1600
fix: fix deep-learning test flakiness #1600
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Hey @serena-ruan 👋! |
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Codecov Report
@@ Coverage Diff @@
## master #1600 +/- ##
==========================================
+ Coverage 79.75% 83.10% +3.34%
==========================================
Files 304 310 +6
Lines 15768 15823 +55
Branches 752 752
==========================================
+ Hits 12576 13149 +573
+ Misses 3192 2674 -518
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/azp run |
Azure Pipelines successfully started running 1 pipeline(s). |
/azp run |
Azure Pipelines successfully started running 1 pipeline(s). |
/azp run |
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/azp run |
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yall the best
Related Issues/PRs
None
What changes are proposed in this pull request?
fix deep-learning test flakiness
How is this patch tested?
Does this PR change any dependencies?
Does this PR add a new feature? If so, have you added samples on website?
website/docs/documentation
folder.Make sure you choose the correct class
estimators/transformers
and namespace.DocTable
points to correct API link.yarn run start
to make sure the website renders correctly.<!--pytest-codeblocks:cont-->
before each python code blocks to enable auto-tests for python samples.WebsiteSamplesTests
job pass in the pipeline.AB#1914960