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US 2022/0036002 A1Published application
Log sourcetype inference model training for a data intake and query system
AssigneeSplunk Inc.
InventorsRam Sriharsha, Zhaohui Wang
Life of this patent
Estimating the term…
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AssigneeSplunk Inc.
InventorsRam Sriharsha, Zhaohui Wang
Estimating the term…
Systems and methods are described for training an artificial intelligence model to infer a log sourcetype of a log. For example, logs may have different log sourcetypes, and logs having the same log sourcetypes may have different messagetypes. The artificial intelligence model may be a machine learning model, and can be trained using training data that includes logs with known log sourcetypes. Each log can be tokenized, filtered, converted into a vector, and applied to a machine learning model as an input to perform the training. The machine learning model may output an inferred log sourcetype, which can be compared with the known log sourcetype to update model parameters to improve the machine learning model accuracy. The trained machine learning model may be trained to infer a log sourcetype of a log regardless of the messagetype of the log.
A computer-implemented method, comprising:
A system comprising:
Non-transitory computer-readable media including computer-executable instructions that, when executed by a computing system, cause the computing system to:
Dependencies are inferred from the claim text.