Connect to Environments
Environments are part of the core concept of DLTK. In order to deploy and use an Algorithm, it must be deployed to an Environment. If you want to learn more about these core concepts, please see the Core Concepts in the User Guide.
The following steps describe how to create a new DLTK Environment:
- Open the Splunk web interface
- Open the Deep Learning Toolkit for Splunk app
- Click on Configuration and then Environments in the navigation bar
- Click the Create New Environment button (upper right corner of the dashboard)
- Enter a name for the new Environment
- Select a Connector (once selected, additional fields will appear)
- Important: Populate some of the additional fields, please see Kubernetes for details
- Click on Save button
Next, validate the Environment settings, by following steps to deploy one of the built-in Algorithms into the new Environment:
- Click on Algorithms DLTK in the navigation bar
- Identify Named Entity Recognition and Extraction in the list and click on Add Deployment in the menu on the Actions column on the very right
- Select the new Environment (once selected, additional fields will appear)
- If required, populate some of the additional fields
- Click the Create button - a spinning wheel indicated that the algorithms is being deployed
- Ideally, things go well and a green checkmark icon appears - otherwhich a red icon indicates a problem (click on the status icon to show the deployment logs)
- To see the Algorithm in action, open the example dashboard from navigation bar (Examples -> NLP -> Entity Recognition and Extraction Example using the spaCy Library)