New Features

Machine Learning Platform For AI - Model Management Feature Updated

The model management feature under the AI asset management module is updated. The feature is updated in the following aspects: 1. The model version state button is added to support Machine Learning Operations (MLOps) capabilities. 2. Models trained by Machine Learning Designer can be registered on the model management page.
Content

Target customers: users who require MLOps capabilities and want model events to be automatically triggered by the state changes of model versions. Specifically, if the model version state is approved, the system updates the Elastic Algorithm Service (EAS) model service. If the model version state is updated, the system sends a notification to a DingTalk group by using a DingTalk chatbot or calls the specified service over HTTP or HTTPS. Features released: 1. The model version state button is added to support MLOps capabilities. You can specify multiple conditions to allow model events to be automatically triggered by the state changes of model versions. 2. Models trained by Machine Learning Designer can be registered on the model management page.

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