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You can click Delete on the experiment list page or click Delete Experiment in the upper right corner of the experiment details page to delete an experiment. All jobs of the experiment are displayed on the Delete Experiment page.
Delete the sample file test.txt: rm -f /home/ma-user/work/data/test.txt Delete the sample folder data: rm -rf /home/ma-user/work/data/ Parent topic: Code Running Failures
To avoid unnecessary fees, delete EVS resources in a timely manner to stop charging. For details about EVS billing, see Table 1. For details about how to delete an EVS, see Detaching and Deleting an EVS Disk.
Choose More > Delete in the Operation column. In the displayed dialog box, enter DELETE and click OK to delete the service. Parent topic: Managing My Services in ModelArts Studio (MaaS)
() Method 2: Delete the visualization job created in Creating a Visualization Job. 1 status = job_visualization_instance.delete_visualization_job() Method 3: Delete the visualization job object returned in Querying the List of Visualization Job Objects. 1 status = job_visualization_instance_list
In the notebook list, locate the target notebook instance, and click Delete in the Operation column. In the displayed dialog box, confirm the information, enter DELETE in the text box, and click OK. Deleted notebook instances cannot be recovered.
= estimator.delete_job_configs() Method 2: Delete the training job parameter configuration created in Creating a Training Job Configuration. 1 status = job_config_instance.delete_job_configs() Method 3: Delete the training job parameter configuration object returned in Querying
Solution Check whether no_proxy or NO_PROXY contains huaweicloud.com: env | grep -i no_proxy If yes, reset or delete the environment variable.
You can create, update, or delete node pools. Managing Lite Cluster Nodes: A node is a fundamental component of a container cluster. You can replace, delete, or reset a node within a resource pool. You can also delete, unsubscribe from, or renew nodes in batches.
Key Operations Supported by ModelArts Lite Server Table 1 Key operations supported by ModelArts Lite Server Operation Resource Type Trace Create Server createServer Update Server stopServer Update Server startServer Update Server rebootServer Delete Server deleteServer Read Server
get smn:topic:publish obs:object:PutObject obs:object:GetObject obs:object:GetObjectVersion obs:bucket:HeadBucket obs:object:DeleteObject obs:object:GetObject obs:bucket:CreateBucket obs:bucket:ListBucket modelarts:trainJob:list modelarts:trainJob:update modelarts:trainJobVersion:delete
() Method 2: Delete the training job version created in Creating a Training Job Version. 1 status = job_version_instance.delete_job_version() Method 3: Delete the training job version object returned in Querying the List of Training Job Versions. 1 status = job_version_instance_list
object:GetObjectAcl obs:object:PutObjectAcl obs:object:PutObject obs:object:GetObject obs:object:DeleteObject obs:object:ModifyObjectMetaData √ √ Modifying a training job PUT /v2/{project_id}/training-jobs/{training_job_id} modelarts:trainJob:update N/A √ √ Deleting a training job DELETE
Clear Conda. conda clean -p # Delete useless packages. conda clean -t # Delete compressed packages. conda clean -y --all # Delete all installation packages and clear caches.
On the Training Jobs page, Click Delete in the Operation column. In the displayed dialog box, enter DELETE, and click OK to confirm the deletion. Go to OBS and delete the OBS bucket and files used by the training job.
Solution If you do not need to use functions such as MoXing and SDKs, delete the modelarts.pth file temporarily.
The value can be: delete: Delete a lock.
is AArch, visit the URL below (manually change the commit ID and delete the angle brackets), and download the vscode-server-linux-arm64.tar.gz file.
delete vpc:securityGroups:get Create and delete ModelArts networks, and interconnect VPCs.
Deleting an Authorization To better manage your authorization, you can delete the authorization of an IAM user or delete the authorizations of all users in batches.
