Machine learning service
AssigneeAmazon Technologies, Inc.
InventorsLeo Parker Dirac, Nicolle M. Correa, Aleksandr Mikhaylovich Ingerman, Sriram Krishnan, Jin Li, Sudhakar Rao Puvvadi, Saman Zarandioon
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AssigneeAmazon Technologies, Inc.
InventorsLeo Parker Dirac, Nicolle M. Correa, Aleksandr Mikhaylovich Ingerman, Sriram Krishnan, Jin Li, Sudhakar Rao Puvvadi, Saman Zarandioon
Estimating the term…
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. A first request to perform an operation on an instance of a particular entity type is received, and a first job corresponding to the requested operation is inserted in a job queue. Prior to the completion of the first job, a second request to perform another operation is received, where the second operation depends on a result of the operation represented by the first job. A second job, indicating a dependency on the first job, is stored in the job queue. The second job is initiated when the first job completes.
A computer implemented method comprising:
A system, comprising:
The system of 12, wherein the programmatic interface comprises a representational state transfer (REST) implemented based on a hypertext transfer protocol (HTTP) protocol.
The system of 12, wherein the programmatic interface is configured to be invoked via one or more software development kit (SDK) libraries.
One or more non-transitory computer-accessible storage media storing program instructions that when executed on or across one or more processors implementing a machine learning service, cause the machine learning service to:
Dependencies are inferred from the claim text.