CREATING AND DEPLOYING PACKAGES TO DEVICES IN A FLEET BASED ON OPERATIONS DERIVED FROM A MACHINE LEARNING MODEL
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...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | 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.
提供了用于基于源自机器学习模型或其他自动反馈模型的操作来创建包并将包部署到机群中的设备的系统和方法。作为示例,提供了一种用于创建用于部署到一组设备的包括有效负载的包的方法。方法包括:接收有效负载,其中有效负载具有与将有效负载部署到一组设备相关的相关联的一组有效负载参数。方法还包括:使用处理器,自动创建用于部署到 |
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