Upgraded Version of Charmed Kubeflow Is LIVE
Canonical has released the latest version of their open-source MLOps platform Charmed Kubeflow [https://venturebeat.com/2022/01/25/canonical-updates-charmed-kubeflow-with-mlflow-integration/] . The announcement of version 1.4 heralds considerable adjustments and improvements made to the platform, including MLFlow assimilation, to increase collaboration level on AI and machine learning modernization during the lifecycle of the project. The browser-based resolution was implemented to gain the abi
Canonical has released the latest version of their open-source MLOps platform Charmed Kubeflow. The announcement of version 1.4 heralds considerable adjustments and improvements made to the platform, including MLFlow assimilation, to increase collaboration level on AI and machine learning modernization during the lifecycle of the project.
The browser-based resolution was implemented to gain the ability to integrate MLFlow, an open source platform for advanced AI/ML model lifecycle management. MLFlow comes with a private model record and abilities for experimentation, reproducibility, and deployment. It can implement a truly automated model lifecycle management with the capacity to identify model drift and trigger a Kubeflow model retraining pipeline.
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