microsoft / microsoft/arc-switch
ArcNet Machine Learning
Open
Nobody has claimed this yet.
enhancement
Feature
- Dominant language
- Go
- Stars
- 6
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
Parent feature for machine learning capabilities in ArcNet, enabling AI-driven insights for network device management.
Objectives
- Build machine learning data sets from collected network data
- Develop ML models for Azure Local medium/small deployment scenarios
- Enable predictive analytics for network operations
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
No file, test, or entry point is named. Start by reviewing how collected network data and Azure Local deployment scenarios are represented, then break the three objectives into a scoped plan with explicit dataset, model, and predictive-analytics completion criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, go, machine-learning
- Domain
- machine-learning, networking
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100