HMM and Viterbi
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- cpp
- Domain
- machine-learning
Research direction
Begin by reading the linked ArrayFire issue at https://github.com/arrayfire/arrayfire/issues/376, then inspect the arrayfire-ml repository to determine the appropriate entry points for HMM and Viterbi work. Done should mean that the requested HMM and Viterbi functionality is implemented, but this issue does not name files or tests to guide verification.
Written by the indexing model from the issue text.
Description
- Dominant language
- C++
- Stars
- 105
- Forks
- 22
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
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.
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