tensorflow / tensorflow/probability
Graphical Model: Visualization
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Description
It would be great if there was a way to draw graphical models with drag/drop principle with different distributions, directly converting them into a keras model (code). Also, the other way around, obtain a visualization of the model as graph from code, would be great (see https://en.wikipedia.org/wiki/Graphical_model).
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
The issue names no files, tests, or entry points. First clarify the intended scope for drag-and-drop model creation, code-to-graph visualization, and Keras conversion, then identify the relevant integration points. Done means an agreed design and working bidirectional conversion with a defined graphical-model representation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- keras
- Domain
- data-visualization, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100