| Autor: |
HAO ZHANG, JUN YANG, CHENG CHEN, SIQI WANG, JIASHU LI, MIAN LU |
| Předmět: |
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| Zdroj: |
Communications of the ACM; Jul2023, Vol. 66 Issue 7, p77-78, 2p, 1 Color Photograph, 1 Diagram |
| Abstrakt: |
The article discusses real-time feature computing platforms for machine learning (ML). Three major components including a batch engine for offline training, a real-time engine for online serving, and a unified execution plan generator are proposed. Focus is also given to the open source platform OpenMLDB. |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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