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公开(公告)号:US11822456B2
公开(公告)日:2023-11-21
申请号:US16896441
申请日:2020-06-09
CPC分类号: G06F11/3447 , G06F18/213 , G06F18/285 , G06F30/27 , G06N5/04 , G05B13/04
摘要: The present disclosure relates to a system and a method for model control platform stack. The method includes, at an input layer of a model control platform stack, receiving input data. At a governance layer of the model control platform stack, the method includes maintaining a probe and model inventories; selecting a model, a monitoring location point, and a probe; and deploying, based on the selections of the probe and the model, a container to an orchestration layer of the model control platform stack. At the orchestration layer of the model control platform stack, the method includes accessing the container; using the container to deploy the probe and the model; scheduling an execution of the model to determine inference associated with the input data; during the execution, extracting probe data, using the probe, from the monitoring location point; and adjusting, based on the probe data and the inference, the model.
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公开(公告)号:US11983636B2
公开(公告)日:2024-05-14
申请号:US16743130
申请日:2020-01-15
CPC分类号: G06N5/022 , G06F18/217 , G06F18/40 , G06N5/02 , G06N20/00
摘要: A model retraining tool is provided for utilizing a knowledge graph to retrain analytical models used in production. The model retraining tool retrains the analytical models to improve performance of the analytical models in an efficient and resource conserving manner.
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