MaartenGr / MaartenGr/BERTopic
AttributeError: 'BERTopic' object has no attribute 'c_tf_idf'
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Description
I'm following the steps in this Issue to test how the meta data influence the prevalence/content of topics
https://github.com/MaartenGr/BERTopic/issues/360
But I get AttributeError: 'BERTopic' object has no attribute 'c_tf_idf' when running
ests = estimate_effect(topic_model=topic_model,
topics=[-1, 0],
metadata=metadata,
docs=enr_df_docs,
probs=probs,
estimator="content ~ score",
y="content")
print([est.summary() for est in ests])
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- 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 linked issue 360 and the shown estimate_effect call, then inspect how the BERTopic object is created before that call. Reproduce the AttributeError and trace why c_tf_idf is unavailable; done means the metadata prevalence/content example runs without this error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100