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    Model Deploying
    • 06 May 2025
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    Model Deploying

    • Updated On 06 May 2025
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    Article summary

    Overview

    A deployed model turns into a service in the Dataloop automation platform. Once deployed, the model Predict function can be used in automation pipelines, with triggers on items, or manually from UI-Slots. Service ops are monitored from service-analytics page. Adjust service settings such as instance-type and auto-scaling to make it production-ready.

    Deployed Models Table

    Deployed models can be viewed in the Deployed tab. The table lists all related information:

    FieldsDescription
    NameThe name of the model. Click on it to open the model's detailed page.
    Play/PauseAn option to Pause/Start the deployed model.
    Created AtThe timestamp of the model's evaluation process creation.
    ExecutionsNumber of Predictions (executions) by the running model.
    InstancesCurrent instance and auto-scaling configuration.
    ServiceThe name of the deployment service. Click on it to open the service page.

    Search and Filter Deployed Models

    Dataloop platform allows you to search models that are deployed using Model Name and Model ID, providing users with the capability to refine and narrow down the displayed models.
    Use the Search field to search and filter the models.

    Copy Deployed Model ID

    1. Go to the Models page from the left-side menu.
    2. Select the Deployed tab.
    3. Find the model to copy the ID.
    4. Click on the three-dots and select the Copy Model ID from the list.

    Copy Service ID

    To copy service ID of the deployed model:

    1. Go to the Models page from the left-side menu.
    2. Select the Deployed tab.
    3. Find the model to copy the service ID.
    4. Click on the three-dots and select the Copy Service ID from the list.

    Unload the Model Deployment Service

    1. Go to the Models page from the left-side menu.
    2. Select the Deployed tab.
    3. Find the model to abort the deployment.
    4. Click on the three-dots and select the Unload Service from the list.
    Delete a model deployment

    When deleting a deployment of models, then the model status will be changed from Deployed to:

    • Pre-trained: If the model (entity) is not trained directly.
    • Trained: If the model (entity) is trained directly.

    Error and Warning Indications

    When a service encounters errors, such as Crashloop, ImagePullBackOff, OOM, etc., or when the service is paused, pending executions will get stuck in the queue (in "created" status). You can click or hover over the error or warning icon to view the details.

    • An error icon is displayed when the service status is failed at training, evaluation, prediction execution stages of the model. The service link is provided, and you click on it to view the respective executions tab of the service. The pending deployment execution status will be Created, In progress or Rerun.
    • A warning icon is displayed when a service is inactive. The service link provided, and you click on it to view the respective service page. The pending deployment execution status will be Created or Rerun.
    What's Next