tensorflow / tensorflow/probability
How to Implement Bayesian LSTM layers for time-series prediction
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Description
How can I implement and using LSTM layers for time-series prediction with Tensorflow Probability? There is no any layer for RNN Deep learning in TFP layers in tfp.layers
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 points to the tfp.layers API documentation but names no repository files or tests. Start by reviewing the existing tfp.layers implementations and TensorFlow Probability guidance for recurrent models; a concrete scope and acceptance criteria for Bayesian LSTM support would be needed before implementation can begin.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100