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Platform For AI:Overview

Last Updated:Sep 13, 2023

A processor is a package that contains online prediction logic, including model loading logic and request prediction logic. If the official processors of Elastic Algorithm Service (EAS) cannot meet the model deployment requirements, you can create a custom processor based on the processor development standard.

Develop custom processors

You can use the following programming languages to develop custom processors:

Deploy a model service by using a custom processor

We recommend that you debug a custom processor before you use the processor to deploy a model service. You can deploy a model service in the Machine Learning Platform for AI (PAI) console or by using the EASCMD client.