Splunk ITSI

ITSI -Is there a way to use different/additional algorithm/method for the prediction?

mgoldoni
Engager

Hello guys,

I'm starting to approach ITSI, checking the machine learning associate to the prediciton analysis i saw that there are two algoritms (Regression and Classification) and based to the choise four methods:

Linear regression (Regression)
Random forest regressor (Regression)
Gradient boosting regressor (Regression)
Logistic regression (Classification)

The prerequisite to use this function is the MLTK app that has more methods than the ones  proposed by the configuration GUI.

Is there a way to use different/additional alghoritm/method for the prediction ?

If yes kindly can you suggest me how to do ?

Thanks

Labels (1)
0 Karma
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

SOC4Kafka - New Kafka Connector Powered by OpenTelemetry

The new SOC4Kafka connector, built on OpenTelemetry, enables the collection of Kafka messages and forwards ...

Event Series: Level up your SOC: Advancing with Splunk Enterprise Security

AI has fundamentally raised the stakes for security operations, and this three-part series is your guide to ...

Announcing Modern Navigation: A New Era of Splunk User Experience

We are excited to introduce the Modern Navigation feature in the Splunk Platform, available to both cloud and ...