Documentation

Use Machine Learning Toolkit

Create, validate, manage, and operationalize machine learning models through a guided user interface.

Use Splunk App for Data Science and Deep Learning

Use popular containerized environments to allow for resource-intensive tasks to run externally, freeing your search head from computation-heavy workloads.

Splunk App for Anomaly Detection

Find anomalies in time-series datasets and use an end-to-end operationalization workflow to manage anomaly detection jobs.

Machine Learning Toolkit SPL API Reference

Import custom algorithms into the Splunk Machine Learning Toolkit (MLTK) with the machine learning extensibility API (ML-SPL API).

Splunk App for Data Science and Deep Learning Release Notes

View release notes and resources for Splunk App for Data Science and Deep Learning, including new features, known issues, fixed issues, and release history.

Splunk App for Anomaly Detection Release Notes

View release notes and resources for Splunk App for Anomaly Detection, including new features, known issues, fixed issues, and release history.