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*", user_groups=["**", "**"]) # Delete specified whitelist users. wf.delete_whitelist_users(content_id="**", version_num="*.*.*", user_groups=["**", "**"]) When you modify the whitelist for a workflow asset, the system automatically obtains the information of the algorithm asset
If you select No, you can delete the hyperparameter on the training job creation page when using this algorithm to create a training job. If you select Yes, you cannot delete the hyperparameter on the training job creation page when using this algorithm to create a training job.
If Import by Tag is disabled, you can add or delete labels for imported data when labeling data. Figure 1 Importing data from an OBS path After the data is imported, it will be automatically synchronized to the dataset.
If you select No, you can delete the hyperparameter on the training job creation page when using this algorithm to create a training job. If you select Yes, you cannot delete the hyperparameter on the training job creation page when using this algorithm to create a training job.
Write H5 to OBS = Write H5 to the local cache + Upload the local cache to OBS + Delete the local cache Read H5 from OBS = Download H5 to the local cache + Read the local cache + Delete the local cache That is, write the following code at the beginning of the script to enable to_hdf
You can also modify existing labels, or delete them and re-label. Model training requires a large amount of labeled data. Therefore, before training a model, label data.
If Import by Tag is disabled, you can add or delete labels for imported data when labeling data. Figure 1 Importing data from an OBS path After the data is imported, it will be automatically synchronized to the dataset.
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.
To delete a data storage path, click in the row for it. Training Output Path N/A Select a path for storing the training result. NOTE: To minimize errors, select an empty directory for Training Output Path.
If you delete the resource pool on April 18, 2023 at 10:45:46, then: The first billing cycle is from 09:00:00 to 10:00:00. Fees are generated from 09:59:30 to 10:00:00. The billing duration in this billing cycle is 30 seconds.
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.
The differences between the options are as follows: The users with the ModelArts CommonOperations permission can only use resources, but cannot create, update, or delete any dedicated resource pool. You are advised to assign this permission to IAM users.
Alternatively, go to the resource pool details page, delete the nodes where no services are running to scale in the pool. Constraints Only Lite Cluster resource pools in the Running state can be resized.
You can add data for training based on scenarios or delete data if such scenarios do not exist.
You can add data for training based on scenarios or delete data if such scenarios do not exist.
You can copy and paste the content. { "Version": "1.1", "Statement": [ { "Effect": "deny", "Action": [ "modelarts:pool:create", "modelarts:pool:update", "modelarts:pool:delete", "modelarts
You can perform the following operations on the labeling job: start auto labeling, publish new versions, modify the labeling job, and delete the labeling job.
You can add data for training based on scenarios or delete data if such scenarios do not exist.
Delete the created pod. kubectl delete -f config.yaml Change the values of limit and request in the config.yaml file to 8. vi config.yaml Figure 3 Modify the number of NPUs Re-create a pod. kubectl apply -f config.yaml Go to the container and view the NPU information.
Figure 7 Viewing an acceptance report Deleting a Labeling Job After a job is accepted, delete it if the labeling job is no longer used. After a job is deleted, the labeling details that are not accepted will be lost.
