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AIML Framework (AIMLFW)

Primary Goals:

  • Integrated installation (still discussing)Integration training host and inference host with SMO/Non-RT RIC/Near-RT RIC

H Feature Scope / Achievements: (still discussing) 

  • Kserve adapter

    • Deploy and manage AI models in Near-RT RIC/

    DME Integration with AIML FW
    • Discuss about the R1 interface, DME related demo in

      Non-RT RIC

      project
    • Need to install DME available in g-release and check how it works.
    • Integrate Inference host with O-Cloud( RICDMS ) and Management Func of RIC. 

  • Diversify training data source for Training host
    • Obtaining training data from DME in Non-RT RIC 
    • Obtaining training data from influxDB in SMOIntegration plan based on the existing implementation.
  • Training pipeline Enhancement

    • Add Provide sample pipelines by default, reducing user effort

    • Simplify the process of adding new training pipeline (reducing the amount of code written by user)

    • Implementation plan

  • Integrated installation

    • Integrate with SMO Influx DB 
    • Plan to install as part of SMO first
    • pipeline 

  • Integrated installation

    • Provide install script of inference host

    Kserve adapter

    • Implementation plan for deploying models in Near-RT RIC/Non-RT RICRIC 
    • Provide install script of training host in SMONeed to define how to integrate DMS Cli and Management Func. 

Sprint Demo

23] Installing Kserve inference service CRD in RIC cluster

H release highlights/accomplishments (<Date> ):

  • TODO

H release source code, container images and deployment instructions

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


Container images are described here: 

  • TODO

Installation Instructions: 

  • TODO

Code coverage: 

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-tps-kubeflow-adapter

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-sdk-feature-store

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-sdk-model-storage

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-athp-data-extraction

https://sonarcloud.io/project/overview?id=o-ran-sc_aiml-fw-awmf-tm



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