Comments (1)
@elisno seems like the mapping that decides what issue-types to run based on the supplied args is off. The Underperforming group check should only run if pred_probs were included in the supplied args.
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Related Issues (20)
- update knn shapely score transformation
- table of issue types should distinguish dataset-level issues vs datapoint-level issues HOT 1
- Refine Underperforming Group Scoring for All Clusters HOT 3
- CI fails due to an unnannounced fastText release HOT 2
- Minor Release of Datasets Package Affects Datalab Property-Based Testing
- dead link in clean lab landing page HOT 1
- Improve Label Issue Identification Metrics in Datalab Quickstart tutorial HOT 1
- remove redundant FAQ on underperforming group
- Compatibility with NumPy 2.0.0
- underperforming group 'about this issue' print format
- multi_annotator labels HOT 6
- consider cleanvision's near duplicates too in Datalab near duplicates analysis
- cl.find_label_issues usage HOT 4
- Add FAQ: how do I run Datalab on an unlabeled dataset?
- Is it enough to use out-of-sample predictions to avoid overfitting? HOT 1
- links in the misc datalab workflows tutorial don't work HOT 2
- Please don't spam Github users via email HOT 1
- replace Datalab load/save from pickle to more secure format
- update misc workflows datalab tutorial non-IID section to show overall score first and then per-example issues
- add CI test that runs the main datalab code without any optional dependencies installed
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