Comments (1)
Fixed by #96.
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Related Issues (20)
- Refactor the way that we apply `CalibratedClassifierCV` to the models
- [model:performance] Experiment with including bugs from performance components in the training set only
- Add more detailed guidance and recommendations to CONTRIBUTING.md
- Remove duplicate imports for `dateutil.parser`
- [model:bugtype] The `Keywords` feature accepts keywords but is given keyword prefixes
- [model:performance] Add the model to `http_service` and `data_pipeline`
- [model:accessibility] Add the model to `http_service` and `data_pipeline`
- UnboundLocalError: local variable 'median_fix_time_text' referenced before assignment when generating quality report
- [model:bugtype] ValueError: y should be a 1d array, got an array of shape (198635, 5) instead.
- [model:bugtype] ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() HOT 1
- Show the number of not classified instances for multi-label models HOT 1
- Include certain comment fields which will help the model to tag spam comments
- OOM Error when running data pipeline tasks to train `accessibility` and `performance` bug models
- there is no task id for one of the tasks defined in `.taskcluster.yml` HOT 3
- Bugbug HTTP service failing to connect to Redis
- Using `scikit-learn==1.1.3` with `python==3.11` raises an error
- Quality report: Have a summary of team MEI values in a sheet
- Quality report/MEI: Add links with bugzilla queries for the incoming and closed bugs
- QualityReport/MEI: Hide non-weighted BurndownTime
- MEI: Make the scripts run in a secure configuration and include sec-bugs
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