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Deleting a Model You can use the API to delete a model object. Sample Code In ModelArts notebook, you do not need to enter authentication parameters for session authentication.
URI DELETE /v2/{project_id}/workforces/{workforce_id}/workers/{worker_id} Table 1 Path Parameters Parameter Mandatory Type Description project_id Yes String Project ID.
Deleting a Team Labeling Task Function This API is used to delete a team labeling task. Debugging You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.
Example Requests Delete a network.
Example Requests The following is an example of how to delete nodes in batches.
Delete the created ExeML project. To be specific, in the ExeML project list on the ModelArts console, locate the row where the ExeML project you want to stop resides and click Delete in the Operation column. Parent topic: Billing
Example Requests Delete a resource pool.
Deleting Labeling Team Members in Batches Function This API is used to delete labeling team members in batches. Debugging You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.
Locate the target server in the list and choose > Delete on the right. In the displayed dialog box, confirm the information, enter DELETE, and click OK.
Deleting a Training Job Configuration Function This API is used to delete a training job configuration. URI DELETE /v1/{project_id}/training-job-configs/{config_name} Table 1 describes the required parameters.
To deploy more real-time services, delete unused ones or submit a service ticket to increase the quota of real-time services. Possible Causes The number of real-time services exceeds the default maximum of 11. Solution Delete unused real-time services and try again.
If you exceed this limit, delete old keys before adding new ones. After you create an API key, you must save it right away. The system does not store the key as plain text. After you delete an API key, it becomes invalid right away.
To delete nodes in batches, select the target nodes and click Delete above the node list, enter DELETE in the displayed dialog box, and click OK. For a yearly/monthly resource pool whose resources are not expired, click Unsubscribe in the Operation column.
You can view version updates, set the current version, and delete versions. Viewing Dataset Version Updates Log in to the ModelArts management console.. In the navigation pane, choose Data Management > Datasets.
In the resource pool list, delete the dedicated resource pool that is running the target ExeML job. After these operations are complete, the billing is stopped. Log in to the OBS console, access your OBS bucket, and delete the data stored in the OBS bucket.
Deleting a Development Environment Instance Function This API is used to delete a development environment instance. URI DELETE /v1/{project_id}/demanager/instances/{instance_id} Table 1 describes the required parameters.
If you delete a Lite Cluster resource pool, the pay-per-use nodes will be deleted from that pool. However, you will need to separately unsubscribe from or release yearly/monthly nodes.
There are two methods to prevent IAM users from viewing, modifying, or deleting notebook instances created by others: Solution 1: Delete the modelarts:notebook:listAllNotebooks permission. Solution 2: Use workspaces to isolate resources.
For a training job in the Completed, Failed, Stopped, Running Failed, or Deploying state, you can click Delete in the Operation column to delete the corresponding data processing task. Viewing Data Processing Task Details Log in to the ModelArts management console.
On the displayed service details page, click Delete in the upper right corner to delete the service. Batch services In the batch service list, click Delete in the Operation column of the target service to delete it.
