Viewing Details About an AI Application¶
After an AI application is created, you can view its information on the details page.
Log in to the ModelArts management console. In the navigation pane on the left, choose AI Application Management > AI Applications. The AI Applications page is displayed.
Click the name of the target AI application. The application details page is displayed.
On the application details page, you can view the basic information and model precision of the AI application, and switch tab pages to view more information.
Table 1 Basic information about an AI application¶ Parameter
Description
Name
Name of an AI application
Status
Status of an AI application
Version
Current version of an AI application
ID
ID of an AI application
Size
Size of an AI application
Runtime Environment
Runtime environment on which the meta model depends
Meta Model Source
Path to the meta model
AI Engine
AI engine used by an AI application
Deployment Type
Types of the services that an AI application can be deployed
Model Source
Source of a model, which can be ExeML, built-in algorithm, or custom algorithm
Inference Code
Path to the inference code
Description
Click the edit button to add the description of an AI application.
AI Application Description
Description document added during the creation of an AI application
Associated Training Job
Associated training job if the meta model comes from a training job. Click the training job name to go to its details page.
Table 2 Details page of an AI application¶ Parameter
Description
Model Precision
Model recall, precision, accuracy, and F1 score of an AI application
Parameter Configuration
API configuration, input parameters, and output parameters of an AI application
Runtime Dependency
Model dependency on the environment. If creating a job failed, edit the runtime dependency. After the modification is saved, the system will automatically use the original image to create the job again.
Events
The progress of key operations during AI application creation
Events are stored for three months and will be automatically cleared then.
For details about the event types and event information of AI applications, see What "Are the Events and Their Types for an AI Application?" in FAQs.
Constraint
Constraints on deployment, such as the API request mode, deployed system architecture, and supported acceleration card types
Associated Services
The list of services that an AI application was deployed. Click a service name to go to the service details page.