Model management
Deploy a retrained model directly in to a running Joule with zero down time
Last updated
Deploy a retrained model directly in to a running Joule with zero down time
Last updated
The predictor processor can be configured to load and refresh a model from a linked reference data storage platform.
When this optional setting is applied the relevant logic to switch the model in-place is activated and a model file change process occurs. On a model update the predictor processor execution is paused while the model is replaced.
Any model replacement can be trigger by external drift analysis by using the model audit function.
Although the configuration may look confusing it due to the ability for every processor to be able to reuse reference data store while being able to gain flexible approach to building capabilities.
To ensure the PMML processor operates with reliable models, it must connect to a model store, allowing for model replacement when necessary.
The key configuration items are:
Defines which stores
to include. PMML only requires the model store.
Set the model store to the production_churn_models.
One processor initialisation the processor will configure file watchers on the store to trigger model refreshes.
The example below demonstrates how to link to model store.
For this example to work the below reference data definition would need to be deployed so that the processor can successfully bind to the underlying storage platform.
See Reference Data API documentation for further details.
For more details or assistance, Fractalworks is ready to support in your enquiries.