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USING AND TRAINING A MACHINE LEARNING MODULE TO DETERMINE ACTIONS TO BE TAKEN IN RESPONSE TO FILE SYSTEM EVENTS IN A FILE SYSTEM

机译:使用和培训机器学习模块来确定响应文件系统中文件系统事件要采取的措施

摘要

Provided are a computer program product, system, and method for using and training a machine learning module to determine actions to be taken in response to file system events in a file system. A file system event is detected. An action to be performed corresponding to the file system event is selected from an action list. A determination is made as to whether an outcome in the computing system resulting from the performed action satisfies an outcome threshold. A machine learning module is trained to increase a likelihood of selecting the performed action corresponding to the file system event when the outcome satisfies the outcome threshold. The machine learning module is trained to decrease a likelihood of selecting the performed action corresponding to the file system event when the outcome does not satisfy the outcome threshold.
机译:提供一种用于使用和训练机器学习模块以确定响应于文件系统中的文件系统事件而采取的动作的计算机程序产品,系统和方法。检测到文件系统事件。从动作列表中选择与文件系统事件相对应的动作。做出关于由执行的动作导致的计算系统中的结果是否满足结果阈值的确定。当结果满足结果阈值时,训练机器学习模块以增加选择与文件系统事件相对应的已执行动作的可能性。当结果不满足结果阈值时,训练机器学习模块以降低选择与文件系统事件相对应的已执行动作的可能性。

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