Hi All,
How to use Splunk Machine Learning toolkit for anomaly detection. There is a use case where we want machine learning to identify the thresholds dynamically based on anomaly detection.
These should give you what you need: https://www.splunk.com/en_us/resources/videos/machine-learning-and-anomaly-detection.html https://docs.splunk.com/Documentation/MLApp/latest/User/DNOlegacyassist https://answers.splunk.com/answers/594312/detecting-outlier-without-using-splunk-machine-lea.html
”Splunk Machine Learning toolkit” sample data uses data model（CIM) fields. For now, how about imitating a sample with an actual data model?
@HiroshiSatoh
I didn't get it, could you please elaborate.
Have you used "Density Function" algorithm for anomaly detection?
The “DensityFunction” algorithm is not used. Is it an algorithm question? Or is it a question of how to use MLTK?
Is it a case that does not exist in the MLTK sample use case?
