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93 lines
3.5 KiB
Text
93 lines
3.5 KiB
Text
NAME
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gcloud alpha mldiagnostics machine-learning-run delete - delete a machine
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learning run
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SYNOPSIS
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gcloud alpha mldiagnostics machine-learning-run delete
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(MACHINE_LEARNING_RUN : --location=LOCATION) [--async] [--force]
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[GCLOUD_WIDE_FLAG ...]
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DESCRIPTION
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(ALPHA) Delete a machine learning run.
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EXAMPLES
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To delete the machine learning run, run:
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$ gcloud alpha mldiagnostics machine-learning-run delete my-run \
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--location=us-central1
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User will be prompted to confirm the deletion. This command will delete the machine learning run and all its child resources.
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Sample output:
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You are about to delete machine_learning_run [my-run]
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Do you want to continue (Y/n)? Y
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Delete request issued for: [my-run]
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Waiting for operation [projects/PROJECT_ID/locations/us-central1/operations/operation-1770309647854-64a1655b3ecc2-08de807c-e28f3b16] to complete...done.
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Deleted machine_learning_run [my-run].
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POSITIONAL ARGUMENTS
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Machine learning run resource -
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projects/{project}/locations/{location}/machineLearningRuns/{machineLearningRun}
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The arguments in this group can be used to specify the attributes of this
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resource. (NOTE) Some attributes are not given arguments in this group but
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can be set in other ways.
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To set the project attribute:
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◆ provide the argument machine_learning_run on the command line with a
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fully specified name;
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◆ provide the argument --project on the command line;
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◆ set the property core/project.
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This must be specified.
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MACHINE_LEARNING_RUN
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ID of the machine_learning_run or fully qualified identifier for the
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machine_learning_run.
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To set the machine_learning_run attribute:
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▸ provide the argument machine_learning_run on the command line.
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This positional argument must be specified if any of the other
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arguments in this group are specified.
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--location=LOCATION
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The location id of the machine_learning_run resource.
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To set the location attribute:
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▸ provide the argument machine_learning_run on the command line
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with a fully specified name;
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▸ provide the argument --location on the command line;
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▸ set the property compute/region.
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FLAGS
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--async
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Return immediately, without waiting for the operation in progress to
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complete.
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--force
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If force=false and if a user tries to delete an ml run resource that
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still has child resources (e.g., ProfilerTarget), the request should
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fail with a FAILED_PRECONDITION error. If force=true, the delete
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request should delete both parent and child resources that exist.
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GCLOUD WIDE FLAGS
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These flags are available to all commands: --access-token-file, --account,
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--billing-project, --configuration, --flags-file, --flatten, --format,
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--help, --impersonate-service-account, --log-http, --project, --quiet,
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--trace-token, --user-output-enabled, --verbosity.
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Run $ gcloud help for details.
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API REFERENCE
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This command uses the hypercomputecluster/v1alpha API. The full
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documentation for this API can be found at:
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https://docs.cloud.google.com/cluster-director/docs
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NOTES
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This command is currently in alpha and might change without notice. If this
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command fails with API permission errors despite specifying the correct
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project, you might be trying to access an API with an invitation-only early
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access allowlist.
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