The Siren ML component for the Siren Platform consists of the machine learning engine and an Investigate plugin that provides the user interface. 

The engine is based on TensorFlow and is distributed as a Docker container (for either CPU or GPU).

Siren ML can be used directly from the front-end for tasks such as time series anomaly detection and time series prediction.

For technical information, please refer to the documentation.


Siren ML Plugin for Investigate 10.3

Siren ML Plugin for Investigate 10.4


Installing the Siren ML plugin

Installing the Siren ML Docker image