tensorflow / tensorflow/probability
Get posterior in Probabilistic PCA
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Description
Hi, which would be the best way to get the posterior distribution of the latent variables given an observed data point (equation 6 in original paper) in the implementation of probabilistic PCA?
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Research direction
Start by locating the probabilistic PCA implementation and comparing its available entry points with equation 6 in the original paper. Determine whether the posterior is already exposed or requires a new interface; done means the supported way to obtain it is clear and documented.
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Assessment
- Tech stack
- machine-learning
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100