Primary Goals:

• Stand alone installation (separated from existing platform deployment) and initial AIML workflow modules

G Feature Scope / Achievements:

• Stand alone installation with Kubeflow as a Training host backend and Kserve as a Inference host backend
• Initial Training Job Management ( Data extraction / feature management)
• Sample ML pipeline and ML xApp : QoE Prediction model using LSTM with data from ricapp/qp

G release source code, container images and deployment instructions

Source code: Gerrit links to the repositories are mentioned below

Container images are described here: 

• Training manager component: nexus3.o-ran-sc.org:10004/o-ran-sc/aiml-fw-awmf-tm-docker
• Data extraction component: nexus3.o-ran-sc.org:10004/o-ran-sc/aiml-fw-athp-data-extraction-docker
• Kubeflow adapter component: nexus3.o-ran-sc.org:10004/o-ran-sc/aiml-fw-athp-tps-kubeflow-adapter-docker
• AIMLFW dashboard component: nexus3.o-ran-sc.org:10004/o-ran-sc/portal-aiml-dashboard-docker
• AIMLFW notebook component: nexus3.o-ran-sc.org:10004/o-ran-sc/portal-aiml-notebook-docker

Instructions: TODO 

https://docs.o-ran-sc.org/projects/o-ran-sc-aiml-fw-aimlfw-dep/en/latest/installation-guide.html

Installation demos:

https://wiki.o-ran-sc.org/download/attachments/63143945/oran%20sc%20install_low_res_with_audio_small.mp4?api=v2

https://wiki.o-ran-sc.org/download/attachments/63143945/qp-aimlfw-demo.mp4?api=v2

Code coverage: TODO

Wiki: https://wiki.o-ran-sc.org/display/AIMLFEW

Tasks / Backlog: https://jira.o-ran-sc.org/projects/AIMLFW/issues

Gerrit / Code:

aiml-fw/awmf/tm:  Training Manager : Training job and model management

aiml-fw/athp/tps/kubeflow-adapter: Adapter for Kubeflow

aiml-fw/athp/sdk/model-storage: Sdk for accessing Model storage

aiml-fw/athp/sdk/feature-store: Sdk for accessing Feature store

aiml-fw/athp/data-extraction: Retrieving features for training from Data lake

aiml-fw/aimlfw-dep: Deployment scripts aiml workflow 

portal/aiml-dashboard: GUI for AIML Workflow

ric-app/qp-aimlfw: Sample ML Assist xApp for QoE prediction