A processor is a package that contains online prediction logic, including model loading logic and request prediction logic. If the official processors provided by Elastic Algorithm Service (EAS) cannot meet the model deployment requirements, you can create a custom processor based on the processor development standard.
To ensure the model service security, you cannot use custom processors in shared resource groups. Therefore, a dedicated resource group must be purchased before you use a custom processor to deploy a model service. For more information about how to purchase or create a dedicated resource group, see Purchase a dedicated resource group.
Custom processor development manuals
Deploy a model by using a custom processor
- Upload a model in the console
Set Resource Group Type to Dedicated Resource Group and Processor Type to Self-definition processor. For more information, see Upload and deploy models in the console.
- Deploy a model by using EASCMD
During service deployment, set the resource parameter to the ID of the purchased dedicated resource group. For more information, see Use the EASCMD client.