multivariate time series
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- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 217
- PR merge metrics
- No merged PRs in 30d
Description
Is there any way to use luminol with multivariate time series anomaly detection?
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.
Research direction
No file or test is named. Start by reviewing luminol's existing anomaly-detection API and documentation for its input model, then define the expected multivariate behavior and acceptance criteria. Done means the support question has a documented answer or a clearly scoped feature proposal.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100