MACHINE LEARNING SERVICE
    11.
    发明申请

    公开(公告)号:US20250021884A1

    公开(公告)日:2025-01-16

    申请号:US18775912

    申请日:2024-07-17

    Abstract: 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.

    Machine learning service
    12.
    发明授权

    公开(公告)号:US11386351B2

    公开(公告)日:2022-07-12

    申请号:US16159441

    申请日:2018-10-12

    Abstract: 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.

    EFFICIENT DUPLICATE DETECTION FOR MACHINE LEARNING DATA SETS

    公开(公告)号:US20210374610A1

    公开(公告)日:2021-12-02

    申请号:US17214047

    申请日:2021-03-26

    Abstract: At a machine learning service, a determination is made that an analysis to detect whether at least a portion of contents of one or more observation records of a first data set are duplicated in a second set of observation records is to be performed. A duplication metric is obtained, indicative of a non-zero probability that one or more observation records of the second set are duplicates of respective observation records of the first set. In response to determining that the duplication metric meets a threshold criterion, one or more responsive actions are initiated, such as the transmission of a notification to a client of the service.

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