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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到舰队中的设备

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的船队中的创建和部署包的系统和方法。 作为示例,提供了一种用于创建包装的方法,包括有效载荷,用于部署到一组设备。 该方法包括接收有效载荷,其中有效载荷具有关于将有效载荷部署到该组设备的相关的一组有效载荷参数。 该方法还包括使用处理器,自动创建用于部署到该组设备的包,其中包包括用于将有效载荷部署到该组设备的指令,以及指令指定派生的多个操作中的至少一个 从机器学习模型至少基于关联的有效载荷参数集的子集。

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