gcloud alpha ml vision product-search product-sets update - update a product set
gcloud alpha ml vision product-search product-sets update (PRODUCT_SET : --location=LOCATION) [--display-name=DISPLAY_NAME] [GCLOUD_WIDE_FLAG ...]
(ALPHA) Update a product set.
To change the display name to 'my favorite' of product set 'my-product-set' in locaiton 'us-east1', run:
$ gcloud alpha ml vision product-search product-sets update \ my-produt-set --location=us-east1 --display-name='my favorite'
- Product set resource - Product set to update. The arguments in this group can
be used to specify the attributes of this resource. (NOTE) Some attributes are not given arguments in this group but can be set in other ways. To set the project attribute:
- —
provide the argument product_set on the command line with a fully specified name;
- —
set the property core/project;
- —
provide the argument --project on the command line.
This must be specified.
- PRODUCT_SET
ID of the product set or fully qualified identifier for the product set. To set the product_set attribute:
provide the argument product_set on the command line.
This positional argument must be specified if any of the other arguments in this group are specified.
- --location=LOCATION
The location of product set. To set the location attribute:
provide the argument product_set on the command line with a fully specified name;
provide the argument --location on the command line.
- --display-name=DISPLAY_NAME
The user provided name for this product set. It must not be empty and must be at most 4096 characters long.
These flags are available to all commands: --access-token-file, --account, --billing-project, --configuration, --flags-file, --flatten, --format, --help, --impersonate-service-account, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity.
Run $ gcloud help for details.
This command uses the vision/v1 API. The full documentation for this API can be found at: https://cloud.google.com/vision/
This command is currently in alpha and might change without notice. If this command fails with API permission errors despite specifying the correct project, you might be trying to access an API with an invitation-only early access allowlist. This variant is also available:
$ gcloud beta ml vision product-search product-sets update