scikit-learn / scikit-learn/scikit-learn
Question about the computation of the lower bound in mixture.bayesian_mixture.py
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Description
In method _compute_lower_bound of mixture.bayesian_mixture.py all the terms that should be in the lower bound aren't there.
That's normal for constant terms but for the others is there an explanation ?
(The formula in Bishop book is :

)
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First steps
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Research direction
Start in mixture.bayesian_mixture.py at _compute_lower_bound and compare its terms with the Bishop lower-bound formula linked in the issue. Trace the quantities used by that method and determine whether omitted non-constant terms are intentionally represented elsewhere or indicate an implementation problem. Done means documenting the explanation or identifying a reproducible correction, with relevant tests updated if behavior changes.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100