tensorflow / tensorflow/probability
No documentation for kernel_prior and kernel_posterior
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Description
The Bayesian layers have the properties kernel_prior and kernel_posterior, but this is not documented on the right menu of the documentation page of the corresponding class. Clearly, one may need to access these properties (e.g. for plotting, as it is done in the Bayesian NN example). Although I haven't checked it, the documentation for the other related properties (biases, etc.) is probably also missing.
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 DenseFlipout API documentation and the referenced dense_variational.py properties. Check which kernel and bias properties are absent from the class documentation, then update the relevant API documentation so these properties are listed and usable for the Bayesian neural network example.
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Assessment
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100