Uber open-sources Michelangelo ML platform
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Uber has open-sourced Michelangelo, its ML platform proven at Uber scale with 400+ active ML projects, 20K+ model training jobs per month, 5K+ models in production and 45M+ real-time predictions per second at peak. The release covers feature management, distributed model training, deployment and monitoring, with feature management, evaluation and monitoring marked coming soon. A Python API built on Uniflow lets users define distributed training tasks and end-to-end workflows, such as a Ray-based XGBoost training pipeline, in a few lines of code.
From Hacker News · AI
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- Hacker News · AIUber Open-Sources Michelangelo ML Platform, Says It Has Been Validated Across 400+ Projects and 20,000 Monthly Training Jobs
Uber has open-sourced Michelangelo, its ML platform proven at Uber scale with 400+ active ML projects, 20K+ model training jobs per month, 5K+ models in production and 45M+ real-time predictions per second at peak. The release covers feature management, distributed model training, deployment and monitoring, with feature management, evaluation and monitoring marked coming soon. A Python API built on Uniflow lets users define distributed training tasks and end-to-end workflows, such as a Ray-based XGBoost training pipeline, in a few lines of code.
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