Help Center> ModelArts> Model Inference> Managing AI Applications> Viewing Details About an AI Application
Updated on 2024-06-12 GMT+08:00

Viewing Details About an AI Application

After an AI application is created, you can view its information on the details page.
  1. 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.
  2. 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 how to view events of an AI application, see Viewing Events of an AI Application.

    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.