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Merge branch 'main' into dynamic_keynmf
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x-tabdeveloping authored Jun 9, 2024
2 parents eea1428 + 0ec180e commit 0226673
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3 changes: 1 addition & 2 deletions README.md
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- Make the models' API streamlined and compatible with topicwizard and scikit-learn.
- Develop smarter, transformer-based evaluation metrics.

!!!This package is still a prototype, and no papers are published about the models. Until these are out, and most features are implemented
I DO NOT recommend using this package for production and academic use!!!
**Note**: This package is still work in progress and scientific papers on some of the novel methods (e.g., decomposition-based methods) are currently undergoing peer-review. If you use this package and you encounter any problem, let us know by opening relevant issues.

## Roadmap
- [x] Model Implementation
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1 change: 1 addition & 0 deletions turftopic/base.py
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Expand Up @@ -217,6 +217,7 @@ def _representative_docs(
lowest = lowest[
np.argsort(document_topic_matrix[lowest, topic_id])
]
lowest = lowest[::-1]
scores = document_topic_matrix[lowest, topic_id]
for document_id, score in zip(lowest, scores):
doc = raw_documents[document_id]
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