tensorflow / tensorflow/probability
higher_level_modeling_api_demo.ipynb is incomplete
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- Dominant language
- Jupyter Notebook
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Description
model.observed and model.unobserved are not defined even though notebook has the results. So it looks look code is out of sync with results.
Section
The model keeps track of observed and unobserved variables.
The data / observed variables are specified when the model is first created.
The unobserved variables and their shapes can be inferred using Edward2 random variable interception -- this facilitates automatically creating the log joint.
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
Open higher_level_modeling_api_demo.ipynb and inspect the section describing observed and unobserved variables. Compare the notebook's code with its existing results to identify the missing model attributes; done means the demo code and displayed results are consistent and the notebook runs successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100