You can use the Cloud ML Engine prediction service to host your models that are in production, but you can also use it to test your models. In all other ways, a batch prediction job using an undeployed model behaves as any other batch job. If you don't, Cloud ML Engine will use the latest stable runtime version. Because an undeployed model doesn't have an established default runtime version, you should explicitly set it in your job request. Instead of specifying a model or version name, you can use the URI of a Google Cloud Storage location where the model you want to run is stored.
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