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It can delete duplicate metrics from Store or Prometheus. Local data storage enabled Deployment adapter (workload name: custom-metrics-apiserver) Aggregates custom metrics to the native Kubernetes API server.
In the displayed dialog box, enter DELETE and click OK. Figure 1 Plug-in details Figure 2 Uninstalling a plug-in FAQ If a mandatory plug-in is unavailable, or is being installed or deleted for a long time, contact ModelArts technical support.
{ "Effect": "Allow", "Action": [ "modelarts:notebook:list", "modelarts:notebook:create" , "modelarts:notebook:get" , "modelarts:notebook:update" , "modelarts:notebook:delete
To stop billing an EVS disk, delete data from the EVS disk and release the disk. Images stored in a notebook instance cannot be larger than 35 GB and there cannot be more than 125 image layers. Otherwise, the image cannot be saved.
In the displayed dialog box, enter DELETE and click OK. Figure 1 Installing a plug-in FAQ If the plug-in must be installed is unavailable or is being installed or deleted for a long time, you can click the resource pool name to view the basic information.
You can mount the disk to other BMSs or delete it as needed. If the server type is BMS, you can mount a disk on the BMS details page. For details, see Attaching Data Disks. If the server type is ECS, you can mount a disk on the ECS details page.
Stop and delete the notebook instance if it is not required. For more information, see Development Environment. When a notebook instance is created, auto stop is enabled by default. The notebook instance will automatically stop at the specified time.
Allow" }, { "Action": [ "smn:*:*" ], "Effect": "Allow" }, { "Action": [ "modelarts:pool:create", "modelarts:pool:update", "modelarts:pool:delete
Call the API for deleting a training job to delete the job if it is no longer needed. Request body: URI: DELETE https://{ma_endpoint}/v2/{project_id}/training-jobs/{training_job_id} Request header: X-Auth-Token →MIIZmgYJKoZIhvcNAQcCoIIZizCCGYcCAQExDTALBglghkgBZQMEAgEwgXXXXXX...
If the error message "Host key verification failed" is displayed when you perform the SSH container test on the host machine, delete the ~/.ssh/known_host file from the host machine and try again. Use VS Code SSH to connect to the container environment.
Stop and delete the notebook instance if it is not required. For more information, see Development Environment. Procedure Log in to the ModelArts console.
After importing the data, you can add or delete labels during data labeling. After setting the parameters, click Submit. Creating a Dataset (Table) Log in to the ModelArts management console. In the navigation pane on the left, choose Asset Management > Datasets. Click Create.
To reduce the final image size, delete intermediate files such as TAR packages when building each layer. For details about how to clear the cache, see conda clean. Refer to the following example.
When you perform operations on a training job, for example, obtain information of, update, or delete a training job, you can use job_instance.job_id to obtain the ID of the training job.
If this parameter is left blank, all sample labels are deleted. metadata No SampleMetadata object Key-value pair of the sample metadata attribute. sample_id No String Sample ID. sample_type No Integer Sample type.
If UID 1000 or GID 100 in the base image has been used by another user or user group, delete the user or user group. The user and user group have been added to the Dockerfile in this case. You can directly use them.
Call the API for deleting a notebook instance to delete the instance that is no longer needed. Prerequisites You have obtained the endpoints of IAM and ModelArts.
To reduce the final image size, delete intermediate files such as TAR packages when building each layer. For details about how to clear the cache, see conda clean. Refer to the following example.
You can purchase or delete such an ECS at any time. Cluster Flavor Pool Name Enter a name. Only lowercase letters, digits, and hyphens (-) are allowed. The value must start with a lowercase letter and cannot end with a hyphen (-).
To reduce the final image size, delete intermediate files such as TAR packages when building each layer. For details about how to clear the cache, see conda clean. Refer to the following example.
