首页> 外国专利> CREATING AND DEPLOYING PACKAGES TO DEVICES IN A FLEET BASED ON OPERATIONS DERIVED FROM A MACHINE LEARNING MODEL

CREATING AND DEPLOYING PACKAGES TO DEVICES IN A FLEET BASED ON OPERATIONS DERIVED FROM A MACHINE LEARNING MODEL

机译:基于机器学习模型的操作在舰队中创建和部署设备包

摘要

Systems and methods for creating and deploying packages to devices in a fleet based on operations derived from a machine learning model or other automated feedback models are provided. As an example, a method for creating a package, including a payload, for deployment to a set of devices is provided. The method includes receiving a payload, where the payload has an associated set of payload parameters concerning a deployment of the payload to the set of devices. The method further includes using a processor, automatically creating the package for the deployment to the set of devices, where the package comprises instructions for deploying the payload to the set of devices, and where the instructions specify at least one of a plurality of operations derived from a machine learning model based at least on a subset of the associated set of payload parameters.
机译:提供了用于基于从机器学习模型或其他自动反馈模型导出的操作来将包创建和部署到车队中的设备的系统和方法。作为示例,提供了一种用于创建包括有效载荷的包以部署到一组设备的方法。该方法包括接收有效载荷,其中有效载荷具有与有效载荷到设备组的部署有关的有效载荷参数的相关集合。该方法进一步包括使用处理器,自动创建用于部署到该设备集合的包,其中该包包括用于将有效载荷部署到该设备集合的指令,并且其中该指令指定导出的多个操作中的至少一个至少基于相关联的有效载荷参数集的子集的机器学习模型中的数据。

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