MaartenGr / MaartenGr/BERTopic
I'm trying to use zeroshot topic model,but i encounter an error,Can anyone please help me?TypeError: BERTopic.__init__() got an unexpected keyword argument 'zeroshot_topic_list'
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Description
my bertopic version is bertopicv0.16.2
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TypeError Traceback (most recent call last)
Cell In[162], [line 57](vscode-notebook-cell:?execution_count=162&line=57)
[55](vscode-notebook-cell:?execution_count=162&line=55) keybert_model = KeyBERTInspired()
[56](vscode-notebook-cell:?execution_count=162&line=56) # build BERTopic
---> [57](vscode-notebook-cell:?execution_count=162&line=57) topic_model = BERTopic(
[58](vscode-notebook-cell:?execution_count=162&line=58) embedding_model=embedding_model,
[59](vscode-notebook-cell:?execution_count=162&line=59) vectorizer_model=vectorizer_model,
[60](vscode-notebook-cell:?execution_count=162&line=60) # umap_model=umap_model,
[61](vscode-notebook-cell:?execution_count=162&line=61) # hdbscan_model=hdbscan_model,
[62](vscode-notebook-cell:?execution_count=162&line=62) zeroshot_topic_list = zeroshot_topic_list,
[63](vscode-notebook-cell:?execution_count=162&line=63) # seed_topic_list=seed_topic_list,
[64](vscode-notebook-cell:?execution_count=162&line=64) # representation_model=keybert_model
[68](vscode-notebook-cell:?execution_count=162&line=68) # #
[69](vscode-notebook-cell:?execution_count=162&line=69) topics, probs = topic_model.fit_transform(docs, embeddings=embeddings) #
TypeError: BERTopic.__init__() got an unexpected keyword argument 'zeroshot_topic_list'
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First steps
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- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the BERTopic constructor used in the notebook and compare it with the v0.16.2 API. Reproduce the TypeError from the shown BERTopic initialization, then check the project documentation or release history for zeroshot_topic_list support. Done means identifying whether the argument is supported for that version and documenting the compatible usage or version.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100