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Deleting a Dataset Delete a dataset based on the dataset ID. delete_dataset(session, dataset_id) Sample Code Delete a dataset. from modelarts.session import Session from modelarts.dataset import Dataset session = Session() Dataset.delete_dataset(session, dataset_id="68ZXdK6CZwgvUICOOdC
URI DELETE /v1/{project_id}/services/{resource_id}/tags/delete Table 1 Path Parameters Parameter Mandatory Type Description project_id Yes String Definition: Project ID. For details, see Obtaining a Project ID and Name. Constraints: The value can contain 1 to 64 characters.
Locate the row that contains the target resource pool, choose More > Delete in the Operation column. In the Delete Dedicated Resource Pool dialog box, enter DELETE in the text box and click OK.
Options: 0: Delete the label. 1: Delete the label and the samples that only contain this label, but do not delete source files. 2: Delete the label and the samples that only contain this label and also delete source files.
Options: false: Do not delete the source file. (Default value) true: Delete the source file. (Note: This operation may affect the dataset versions or other datasets that have used these files.
This API applies to the following scenarios: When you need to delete an algorithm that is no longer used, you can use this API to do so. Before using this API, ensure that the algorithm exists and you have the permission to delete it.
URI DELETE /v2/{project_id}/processor-tasks/{task_id} Table 1 Path Parameters Parameter Mandatory Type Description project_id Yes String Project ID.
URI DELETE /v2/{project_id}/datasets/{dataset_id}/versions/{version_id} Table 1 Path Parameters Parameter Mandatory Type Description dataset_id Yes String Dataset ID. project_id Yes String Project ID.
Deleting a Dataset Version Delete a specified dataset version. dataset.delete_version(version_id) Sample Code Delete a specified dataset version. from modelarts.session import Session from modelarts.dataset import Dataset session = Session() dataset = Dataset(session, dataset_id)
Deleting a Labeling Team Function This API is used to delete a labeling team. Debugging You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.
Deleting a DevServer Supernode Instance Function This API is used to delete the DevServer supernode instance in the ERROR state. Constraints No constraints.
Deleting an AI application Function This interface is used to delete an AI application based on the AI application ID.
Deleting DevServer Instances Function This API is used to delete DevServer instances. Constraints No constraints Debugging You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.
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.
Range: N/A Example Requests Delete a node pool.
Deleting a Workspace Function This API is used to delete a created workspace. This API applies to the following scenarios: When a workspace is no longer required, or resources need to be cleared, you can use this API to delete the specified workspace.
Deleting DevServer Supernode Tags Function This API is used to delete the DevServer supernode tags. Debugging You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.
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.
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.
Range: N/A Example Requests Delete a network.
