The design concept of an almighty Opensource project about machine learning platform

• MetaSpore

  11 628 3.7 Python

  A unified end-to-end machine intelligence platform

  

2.5 [MetaSpore](https://github.com/meta-soul/MetaSpore**) online algorithm application framework** Offline training frameworks and online Serving services are now available. Then, an algorithm in the business scene landing is still a final step: an online algorithm experiment. In a service scenario, to verify the validity of an algorithm model, a baseline needs to be established and compared with the new algorithm model. Therefore, an online experimental framework is needed which can easily define algorithm experiments, read online features, and call model prediction services. In addition, multiple experiments can be traffic segmented to achieve ABTest effect comparison. A configuration center is also needed to quickly carry out multiple experimental iterations, which can dynamically load refresh experiments and cut flow configurations, support hot loading of experimental parameters, and various debugging and trace functions. This link also directly determines whether the AI model can be finally implemented into practical business applications.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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