I created a partitioned model based on geographic regions and then deploy it to the project's flow. When I use a predict recipe to get predictions on new not partitioned data that contains the column of geographic region, it calculates the predictions but not the explanations and then a warning message is shown:
PARTITION_MODE_UNSUPPORTED occurred 1 times
Computing explanations is not supported with partition redispatch
My doubt is: does anyone know how to calculate predictions and their corresponding explanations when using a partitioned model ? (image attached of the warning message)
Thanks a lot !
Indeed, you cannot compute predictions with their explanations on unpartitioned data using a partitioned model.
If you want to be able to compute them on your new data, you would need to first partition this data using a sync recipe.
Hope this helps,