Comments (1)
Thanks for sharing your issue. That is currently not possible with public functions but you could use the private ._extract_representative_docs
function instead to recalculate the representative documents. It would require you to have access to all documents though.
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Related Issues (20)
- Getting probabilities for all topics given a document from loaded model HOT 1
- Issues with Zero-shot Topic Modeling regarding outliers and future operations HOT 3
- Switch from setup.py to pyproject.toml HOT 4
- Seed Words
- random openai issue with plain bertopic use HOT 18
- ModuleNotFoundError: Can't use LangChain with version 0.16.0 HOT 1
- Should raise an Exception when tokenizer is not defined HOT 1
- Handle Responsible AI scenarios for OpenAI HOT 2
- Warn when automatically choosing SklearnEmbedder backend HOT 3
- PartOfSpeech representation reproducibility and word with index 0 HOT 2
- Zero-Shot HOT 2
- Supervised topic model generating different topics to training data HOT 3
- Where is the full data set of embeddings? HOT 3
- Visualization in html page HOT 1
- Guided Modeling: Problem with seed_topic_list HOT 2
- Utilizing the GPU of MacBook Pro M3 to accelerate the process of fit_transform HOT 1
- Could we know the weights of each topic? HOT 6
- Can't reproduce same results when using cuml version of UMAP and HDBSCAN HOT 2
- approximate_distribution returns only 0s HOT 5
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