SynapseML
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fix: only require barrier mode if more than one partition is trained on
What changes are proposed in this pull request?
only require barrier mode if more than one partition is trained on
/azp run
Hey @eisber :wave:! Thank you so much for contributing to our repository :raised_hands:. Someone from SynapseML Team will be reviewing this pull request soon.
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fix: Fix LightGBM crashes with empty partitionsfeat: Make HTTP on Spark back-offs configurabledocs: Update Spark Serving usagebuild: Add codecov supportperf: improve LightGBM memory usagerefactor: make python code generation rely on classesstyle: Remove nulls from CNTKModeltest: Add test coverage for CNTKModel
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Codecov Report
Merging #1912 (ba4856b) into master (3c09702) will decrease coverage by
0.55%. The diff coverage is100.00%.
@@ Coverage Diff @@
## master #1912 +/- ##
==========================================
- Coverage 86.81% 86.27% -0.55%
==========================================
Files 301 301
Lines 15783 15783
Branches 848 842 -6
==========================================
- Hits 13702 13616 -86
- Misses 2081 2167 +86
| Impacted Files | Coverage Δ | |
|---|---|---|
| .../azure/synapse/ml/vw/VowpalWabbitBaseLearner.scala | 86.20% <100.00%> (ø) |
... and 10 files with indirect coverage changes
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/azp run
Azure Pipelines successfully started running 1 pipeline(s).