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Delete an OBS file.
job is being initialized. 2 JOBSTAT_IMAGE_CREATING: The job image is being created. 3 JOBSTAT_IMAGE_FAILED: Failed to create the job image. 4 JOBSTAT_SUBMIT_TRYING: The job is being submitted. 5 JOBSTAT_SUBMIT_FAILED: Failed to submit the job. 6 JOBSTAT_DELETE_FAILED: Failed to delete
job is being initialized. 2 JOBSTAT_IMAGE_CREATING: The job image is being created. 3 JOBSTAT_IMAGE_FAILED: Failed to create the job image. 4 JOBSTAT_SUBMIT_TRYING: The job is being submitted. 5 JOBSTAT_SUBMIT_FAILED: Failed to submit the job. 6 JOBSTAT_DELETE_FAILED: Failed to delete
URI DELETE /v1/{project_id}/services/{service_id}/app-auth-apis/{api_id}/app-auth-api Table 1 Path Parameters Parameter Mandatory Type Description project_id Yes String Project ID.
Figure 1 Clearing the affected instance Method 2 (performed remotely): Delete the files that are being used in /home/ma-user/.vscode-server/bin/ on the VS Code terminal.
If there are damaged images, replace or delete them. If object detection training fails, check whether the labeling mode of the dataset is correct. Currently, ExeML supports only rectangle-based labeling. If predictive analytics training fails, check the label column.
In this case, run commands in local JupyterLab to list related static file paths, and delete and uninstall JupyterLab. The user service uses ports 8888 and 8889 of the official development environment. In this case, modify the process port number.
Figure 1 Clearing the affected instance Method 2 (performed remotely): Delete the files that are being used in /home/ma-user/.vscode-server/bin/ on the VS Code terminal.
To stop billing, delete the data stored in OBS. Pay-per-use Yearly/Monthly Creating an OBS bucket is free of charge. You pay only for the storage capacity and duration you actually use.
Delete the incorrect labels on the right, add the dog label in Label, and click OK to confirm the hard examples. Labeling Data in a Dataset as Hard Examples In a labeling job, labeled or unlabeled image data can be labeled as hard examples.
Locate ModelArts CommonOperations and click Delete in the Operation column. In the displayed dialog box, click OK. Figure 3 Deleting the ModelArts CommonOperations permission Installing a Plug-in Log in to the ModelArts console.
Delete the incorrect labels on the right, add the dog label in Label, and click OK to confirm the hard examples. Labeling Data in a Dataset as Hard Examples In a labeling job, labeled or unlabeled image data can be labeled as hard examples.
Delete the NumPy folder in the site-packages directory.
Table 5 AuthTypeApiBasicInfo Parameter Type Description api_id String API ID api_method String Request method, which can be GET, POST, PUT, DELETE, HEAD, PATCH, OPTIONS, or ANY. ANY is the default value. api_name String API name api_remark String API description.
DELETE Request the server to delete specified resources, for example, an object. HEAD Request header. PATCH Request the server to update partial content of a specified resource. If the requested resource does not exist, the server may create the resource using the PATCH method.
To delete your algorithm, choose Asset Management > Algorithm Management. Click Delete in the Operation column. In the displayed dialog box, enter DELETE, and click OK to confirm the deletion.
To stop billing an EVS disk, delete data from the EVS disk and release the disk. Procedure Log in to the ModelArts management console. In the left navigation pane, choose Development Workspace > Notebook. Click the name of a running notebook instance.
To stop billing an EVS disk, delete data from the EVS disk and release the disk. Procedure Log in to the ModelArts management console. In the navigation pane on the left, choose Development Workspace > Notebook. Click the name of a running notebook instance.
To stop billing, delete the data stored in OBS. Pay-per-use Yearly/Monthly Creating an OBS bucket is free of charge. You pay only for the storage capacity and duration you actually use. Billing Example The following prices are for reference only.
Delete the IPython kernel of the virtual environment. jupyter kernelspec uninstall my-py3-tensorflow-env Delete the virtual environment. conda env remove -n my-env Parent topic: Environment Configurations
