MaartenGr / MaartenGr/BERTopic
Additional representations did not update with topic reduction
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- Python
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Description
Hi, I am trying to reduce the number of topics that I have with
`topic_model.reduce_topics(docs, nr_topics=400)`
which works fine. However, when I ran
`topic_model.get_topic_info()`
I got mismatched representations. Only the main representation was updated and all the other aspects were from the old topics.
I understand the preferred method of controlling topic number is `min_cluster_size` which I did use, but it would be nice to know if I could use `reduce_topics` with the additional representations updated. Thanks in advance!
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Research direction
Reproduce the mismatch with topic_model.reduce_topics(docs, nr_topics=400), then inspect the reduce_topics and get_topic_info entry points and how additional representations are stored. Done means reducing topics updates the additional representations consistently with the main representation, with a regression test covering the reported workflow.
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
- 45/100