Machine learning service
作者： Ralf Herbrich , Tarun Agarwal , Robert Matthias Steele , Rakesh Ramakrishnan , Tianming Zheng
DOI:
关键词: Dependency (UML) 、 Service (business) 、 Job scheduler 、 Machine learning 、 Job stream 、 Feature (computer vision) 、 Entity type 、 Artificial intelligence 、 Job queue 、 Computer science
摘要: A machine learning service implements programmatic interfaces for a variety of operations on several entity types, such as data sources, statistics, feature processing recipes, models, and aliases. first request to perform an operation instance particular type is received, job corresponding the requested inserted in queue. Prior completion job, second another where depends result represented by job. indicating dependency stored The initiated when completes.
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