Add one-step prediction method to LGSSM class
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- Dominant language
- Python
- Stars
- 1k
- Forks
- 114
- Avg merge
- 19h 14m
- Merged PRs (30d)
- 1
Description
One-step prediction is a byproduct of filtering, but it alone is of interest in many situations.
So it would be convenient to add it as an optional output of the filtering function.
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
Locate the LGSSM class and its filtering function, then read how filtering represents its current outputs. Trace where one-step prediction is already computed as a filtering byproduct and determine how an optional output should be exposed. Done means callers can request the one-step prediction result without changing existing filtering behavior, with coverage for the new output.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100