A model is ready to be deployed after you have validated it and are comfortable with its performance. Deployment actions are usually categorized as:
- Generate a forecast to use directly or as input to other analytics applications
- Detect outliners and anomalies to help improve the overall process
- Trigger an action or alert of a needed decision
The Splunk Machine Learning Toolkit makes deploying and sharing the results generated easily through Splunk's inherit ability to create dashboards, alerts and reports. In addition, once a forecast is created, it's easy to export the generated data.
