gcloud ml-engine versions update

gcloud ml-engine versions update - update an AI Platform version

gcloud ml-engine versions update (VERSION : --model=MODEL) [--config=YAML_FILE] [--description=DESCRIPTION] [--region=REGION] [--update-labels=[KEY=VALUE,…]] [--clear-labels     | --remove-labels=[KEY,…]] [GCLOUD_WIDE_FLAG …]

Version resource - The AI Platform model 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 version on the command line with a fully specified name;
• provide the argument --project on the command line;
• set the property core/project.

This must be specified.

VERSION

ID of the version or fully qualified identifier for the version.

To set the version attribute:

• provide the argument version on the command line.

This positional argument must be specified if any of the other arguments in this group are specified.

--model=MODEL

Model for the version.

To set the model attribute:

• provide the argument version on the command line with a fully specified name;
• provide the argument --model on the command line.

--config=YAML_FILE

Path to a YAML configuration file containing configuration parameters for the version to create.

The file is in YAML format. Note that not all attributes of a version are configurable; available attributes (with example values) are:

description: A free-form description of the version.
manualScaling:
  nodes: 10  # The number of nodes to allocate for this model.
autoScaling:
  minNodes: 0  # The minimum number of nodes to allocate for this model.
  maxNodes: 1  # The maxinum number of nodes to allocate for this model.
requestLoggingconfig:
  bigqueryTableName: someTable  # Fully qualified BigQuery table name.
  samplingPercentage: 0.5  # Percentage of requests to be logged.

The name of the version must always be specified via the required VERSION argument.

Only one of manualScaling or autoScaling can be specified. If both are specified in same yaml file, an error will be returned.

Labels cannot currently be set in the config.yaml; please use the command-line flags to alter them.

If an option is specified both in the configuration file and via command-line arguments, the command-line arguments override the configuration file.

--description=DESCRIPTION

Description of the version.

--region=REGION

Google Cloud region of the regional endpoint to use for this command. For the global endpoint, the region needs to be specified as global.

Learn more about regional endpoints and see a list of available regions: https://cloud.google.com/ai-platform/prediction/docs/regional-endpoints

REGION must be one of: global, asia-east1, asia-northeast1, asia-southeast1, australia-southeast1, europe-west1, europe-west2, europe-west3, europe-west4, northamerica-northeast1, us-central1, us-east1, us-east4, us-west1.

--update-labels=[KEY=VALUE,…]

List of label KEY=VALUE pairs to update. If a label exists, its value is modified. Otherwise, a new label is created.

Keys must start with a lowercase character and contain only hyphens (-), underscores (_), lowercase characters, and numbers. Values must contain only hyphens (-), underscores (_), lowercase characters, and numbers.

At most one of these can be specified:

--clear-labels

Remove all labels. If --update-labels is also specified then --clear-labels is applied first.

For example, to remove all labels:

gcloud ml-engine versions update --clear-labels

To remove all existing labels and create two new labels, foo and baz:

gcloud ml-engine versions update --clear-labels --update-labels foo=bar,baz=qux

--remove-labels=[KEY,…]

List of label keys to remove. If a label does not exist it is silently ignored. If --update-labels is also specified then --update-labels is applied first.

Run $ gcloud help for details.