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2022-09-06 (Tuesday)
Recording Link:
- Greetings and Introduction of the project
- Architecture Flow for Initial Seed Code Contribution
- Initial Repository Owners for seed code
- MVP contribution related to AIML workflow
- EMCO framework
- CII badging
- Jira Tasks
- The First sprint will start at 12th - O-RAN SC's dev sprint2 begins on 12th and ends on 30th Sep.(Releases - Releases - Confluence (o-ran-sc.org)
- Jira Task creation is in progress. For seed code contribution, we will use a temporal epic name as 'seed code', after that I will bring the names for next features.
- G release
- G Release
G Feature Scope / Achievements:
- Stand-alone installation with Kubeflow as a Training host backend and Kserve as an Inference host backend
- Manual Deployment of ML rApp and ML xApp
- Initial Training Job Management (Data extraction / feature management)
- Sample ML pipeline and ML xApp: QoE Prediction model using LSTM with data from ricapp/qp) => will bring this issue as a discussion point to RICAPP project
- G Release
- Introduction of the project
- Architecture Flow for Initial Seed Code Contribution
- Initial Repositories
- Discussion with projects
- MVP contribution related to AIML workflow
- EMCO framework
- CII badging