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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. |
@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 ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #3312 +/- ##
===========================================
- Coverage 58.38% 41.13% -17.26%
===========================================
Files 351 334 -17
Lines 37827 36470 -1357
===========================================
- Hits 22087 15003 -7084
- Misses 13831 19971 +6140
+ Partials 1909 1496 -413
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. |
This PR allows use of ML Inference via ONNX models for Anomaly Detection.
It enables use of huggingface tokenizer and onnx inference via CGO.