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A METHOD FOR DEPLOYMENT AND EXECUTION OF A MACHINE LEARNING MODEL ON A FIELD DEVICE

机译:在现场设备上部署和执行机器学习模型的方法

摘要

A method for deployment of a machine learning model (MLM) on a target field device comprising the steps of generating automatically a set of source code files on the basis of the machine learning model, wherein the set of source code files is adapted to execute the machine learning model according to predetermined capabilities of the target field device; transforming the generated source code files into a model binary using a tool chain specific to the target field device; and deploying the model binary in a memory of the target field device.
机译:一种用于在目标现场设备上部署机器学习模型(MLM)的方法,该方法包括以下步骤:基于机器学习模型自动生成一组源代码文件,其中该组源代码文件适用于执行根据目标现场设备的预定能力的机器学习模型;使用特定于目标现场设备的工具链将生成的源代码文件转换为二进制模型;将模型二进制文件部署到目标现场设备的存储器中。

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