MaartenGr / MaartenGr/BERTopic

deployment of the BERTopic model and monitoring

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Dominant language
Python
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Description

Hi, first massive congrats and a huge thank you for the library.

I managed to train bertopic on my specific data, and I'm very happy with the relevant results I got.

so I would like to know how to deploy my model reliably, and the most important thing is how to technically do the continuous monitoring (data drift and model drift/deviation), knowing that as performance metrics I use: Coherence score ( c_v , u_mass, npmi ), calinski harabasz score and davies bouldin score.

Thanks in advance.

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Research direction

The issue names no files, tests, or entry points. Start by clarifying the intended deployment environment and how data drift, model drift, and the listed coherence and clustering metrics should be monitored. Done would be documented, reliable deployment guidance and a continuous monitoring approach for BERTopic models.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
devops, machine-learning, observability-sre
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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