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Anomaly detection with ML #3312
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@Dewwi: There are no 'kind' label on this PR. You need a 'kind' label to generate the release automatically.
DetailsI am a bot created to help the crowdsecurity developers manage community feedback and contributions. You can check out my manifest file to understand my behavior and what I can do. If you want to use this for your project, you can check out the BirthdayResearch/oss-governance-bot repository. |
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@Dewwi: There are no area labels on this PR. You can add as many areas as you see fit.
DetailsI am a bot created to help the crowdsecurity developers manage community feedback and contributions. You can check out my manifest file to understand my behavior and what I can do. If you want to use this for your project, you can check out the BirthdayResearch/oss-governance-bot repository. |
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #3312 +/- ##
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+ Coverage 35.73% 46.09% +10.36%
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Files 466 445 -21
Lines 33278 32167 -1111
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+ Hits 11891 14828 +2937
+ Misses 20014 15539 -4475
- Partials 1373 1800 +427
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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This PR allows use of ML Inference via ONNX models for Anomaly Detection.
It enables use of huggingface tokenizer and onnx inference via CGO.