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Continuous Learning within the Engine
With continuous learning, the trained prediction model gets updated to take into account, additional data that becomes available with time - Enabling it to make better predictions. This video discusses the ways you can do that with the Engine.
The concept of Continuous Learning touches on the following sections within the platform:
1. Dataset versioning:
Updating the existing dataset with additional available data.
2. Continuous learning setting for Trained Models:
When enabled, automatically update the trained model once a new dataset version is available.
3. Auto-deploy setting for Deployments:
When enabled, automatically deploy newer instances of the trained model once available.