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MANAGEMENT AND EVALUATION OF MACHINE-LEARNED MODELS BASED ON LOCALLY LOGGED DATA
MANAGEMENT AND EVALUATION OF MACHINE-LEARNED MODELS BASED ON LOCALLY LOGGED DATA
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机译:基于本地记录数据的机器学习模型的管理与评估
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摘要
The present disclosure provides systems and methods for the management and/or evaluation of machine-learned models based on locally logged data. In one example, a user computing device can obtain a machine-learned model (e.g., from a server computing device) and can evaluate at least one performance metric for the machine-learned model. In particular, the at least one performance metric for the machine-learned model can be evaluated relative to data that is stored locally at the user computing device. The user computing device and/or the server computing device can determine whether to activate the machine-learned model on the user computing device based at least in part on the at least one performance metric. In another example, the user computing device can evaluate a plurality of machine-learned models against locally stored data. At least one of the models can be selected based on the evaluated performance metrics.
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