Comments (2)
bhancock8
commented on September 18, 2024
Hi @bpandey23, thank you for the question. Yes, multi-label problems are very common in the wild. This repo primarily contains the code for reproducing some of the early papers for the Snorkel research project, many of which were multi-class, but none of which were multi-label. Since forming Snorkel AI, we've done additional research and development to create multi-label compatible LF templates, label models, analysis tools, etc., and all of those are in Snorkel Flow, but none are backwards compatible with this library. So I don't have any open source implementations to point you to, unfortunately.
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bpandey23
commented on September 18, 2024
@bhancock8 , no problem . Thank for the update.
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Related Issues (20)
- How do we get coefficients for the interactions of 2 labeling functions? HOT 2
- Upgrade numpy from <=1.20.0 to 1.21.5 to support M1 Macs HOT 2
- No LF for negative class in NER/ high LF overlap HOT 1
- When a token does not fall under any of the class labels or abstains in NER? HOT 2
- Support for M1 Mac HOT 6
- Spacy v3 support HOT 11
- When will snorkel officially releases 0.9.9 version on conda? HOT 8
- What prevent the machine learning model from overfiting to the labeling function? HOT 5
- Overlap and conflict rate between all labeling functions (LFs) HOT 6
- AttributeError: split not found HOT 3
- Update documentation to emphasize the need to avoid broad LabelingFunctions for LabelModel HOT 3
- probabilistic weight for each labelling function? HOT 2
- ModuleNotFoundError: No module named 'snorkel.learning',how to solve it? HOT 1
- Dependency need update HOT 3
- How the label model works HOT 4
- labeling_function as a method on class HOT 2
- Concept Question HOT 6
- Snorkel Coral for melanoma sementation classification HOT 1
- getting negative value after label_model.get_conditional_probs() and snorkel LF HOT 1
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