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          • No Cloud Storage Name or Mount Path Displayed on the Page for Creating a Training Job - ModelArts

            No Cloud Storage Name or Mount Path Displayed on the Page for Creating a Training Job - ModelArts

            In this case, delete the VPC peering connection and try again. Parent topic: Training Jobs Created in a Dedicated Resource Pool

            Help > ModelArts > Troubleshooting > Training Jobs > Training Jobs Created in a Dedicated Resource Pool
          • Data Management Permissions - ModelArts

            Data Management Permissions - ModelArts

            PutObject obs:object:PutObject obs:bucket:ListAllMyBuckets √ √ Querying Details About a Dataset GET /v2/{project_id}/datasets/{dataset_id} modelarts:dataset:get N/A √ √ Modifying a Dataset PUT /v2/{project_id}/datasets/{dataset_id} modelarts:dataset:update N/A √ √ Deleting a Dataset DELETE

            Help > ModelArts > API Reference > Permissions Policies and Supported Actions
          • How Do I Customize Engine IPython Kernel If the Built-in Engines of ModelArts Notebook Instances Do Not Meet My Requirements? - ModelArts

            How Do I Customize Engine IPython Kernel If the Built-in Engines of ModelArts Notebook Instances Do Not Meet My Requirements? - ModelArts

            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: ModelArts Standard Notebook

            Help > ModelArts > FAQs > ModelArts Standard Notebook
          • Is There a File Size Limit for Images to Be Added to a ModelArts Dataset? - ModelArts

            Is There a File Size Limit for Images to Be Added to a ModelArts Dataset? - ModelArts

            Note that synchronizing a data source will delete the files deleted from OBS from the dataset. Exercise caution when performing this operation. Create a dataset. Upload images to any OBS directory.

            Help > ModelArts > FAQs > ModelArts Standard Data Preparation
          • Managing Teams - ModelArts

            Managing Teams - ModelArts

            Deleting a Team You can delete a team that is no longer used. On the Labeling Teams page, select the target team and click Delete. In the dialog box that is displayed, click OK. Figure 1 Deleting a team Parent topic: Creating and Managing Teams

            Help > ModelArts > Data Labeling (To Be Offline) > Team Labeling > Creating and Managing Teams
          • Error Message "pandas.errors.ParserError: Error tokenizing data. C error: Expected .* fields" Is Displayed in Logs - ModelArts

            Error Message "pandas.errors.ParserError: Error tokenizing data. C error: Expected .* fields" Is Displayed in Logs - ModelArts

            Solution Use either of the following methods to resolve this issue: Check the CSV file and delete the lines with extra columns.

            Help > ModelArts > Troubleshooting > Training Jobs > Service Code Issues
          • ModelArts Standard Data Preparation - ModelArts

            ModelArts Standard Data Preparation - ModelArts

            How Do I Delete Images from a Dataset in ModelArts?

            Help > ModelArts > FAQs
          • Sample Code for Common Operations - ModelArts

            Sample Code for Common Operations - ModelArts

            Delete an OBS file.

            Help > ModelArts > ModelArts User Guide (Standard) > Using Notebook for AI Development and Debugging > Using MoXing Commands in a Notebook Instance
          • Job Statuses - ModelArts

            Job Statuses - ModelArts

            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

            Help > ModelArts > SDK Reference > Training Management (Old Version)
          • Job Statuses - ModelArts

            Job Statuses - ModelArts

            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

            Help > ModelArts > API Reference > Historical APIs > Training Management (Old Version)
          • Unmounting OBS Storage from a Notebook Instance - ModelArts

            Unmounting OBS Storage from a Notebook Instance - ModelArts

            URI DELETE /v1/{project_id}/notebooks/{instance_id}/storage/{storage_id} Table 1 Path Parameters Parameter Mandatory Type Description instance_id Yes String Definition: Notebook instance ID. The ID is in the format of a Universally Unique Identifier (UUID).

            Help > ModelArts > API Reference > Development Environment Management
          • Troubleshooting for Custom Images in Notebook Instances - ModelArts

            Troubleshooting for Custom Images in Notebook Instances - ModelArts

            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.

            Help > ModelArts > Image Management > Using Custom Images in Notebook Instances
          • Model Management - ModelArts

            Model Management - ModelArts

            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.

            Help > ModelArts > Billing > Billing Item (ModelArts Standard)
          • Remote Connection Is in the Retry State - ModelArts

            Remote Connection Is in the Retry State - ModelArts

            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.

            Help > ModelArts > Troubleshooting > DevEnviron > Failures to Access the Development Environment Through VS Code
          • Confirming Hard Examples - ModelArts

            Confirming Hard Examples - ModelArts

            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.

            Help > ModelArts > Data Labeling (To Be Offline) > Auto Labeling
          • Canceling the Authorization of an API to an App - ModelArts

            Canceling the Authorization of an API to an App - ModelArts

            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.

            Help > ModelArts > API Reference > App Authentication Management
          • Hard Examples of an Auto Labeling Job - ModelArts

            Hard Examples of an Auto Labeling Job - ModelArts

            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.

            Help > ModelArts > ModelArts User Guide (Standard) > Preparing and Processing Data > Labeling ModelArts Data > Auto Labeling
          • Managing Logical Subpools of a Standard Dedicated Resource Pool - ModelArts

            Managing Logical Subpools of a Standard Dedicated Resource Pool - ModelArts

            Deleting a Logical Subpool Locate the target logical subpool and click Delete in the Operation column. In the displayed dialog box, enter DELETE and click OK.

            Help > ModelArts > ModelArts User Guide (Standard) > ModelArts Standard Resource Management > Managing Standard Dedicated Resource Pools
          • Error Message "Please upgrade numpy to >= xxx to use this pandas version" Is Displayed in Logs - ModelArts

            Error Message "Please upgrade numpy to >= xxx to use this pandas version" Is Displayed in Logs - ModelArts

            Delete the NumPy folder in the site-packages directory.

            Help > ModelArts > Troubleshooting > Training Jobs > In-Cloud Migration Adaptation Issues
          • Scaling Model Service Instances in ModelArts Studio (MaaS) - ModelArts

            Scaling Model Service Instances in ModelArts Studio (MaaS) - ModelArts

            Add or delete model service instances based on service requirements. Then, click OK. In the displayed dialog box, click OK. In the My Services tab, click the service name to access its details page and check whether the change takes effect.

            Help > ModelArts > ModelArts Studio (MaaS) User Guide > ModelArts Studio (MaaS) Real-Time Inference Services > Managing My Services in ModelArts Studio (MaaS)
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