gcloud_alpha_ml-engine_versions_update (1)

NAME

gcloud alpha ml-engine versions update - update a Cloud ML Engine version

SYNOPSIS

gcloud alpha ml-engine versions update (VERSION : --model=MODEL) [--description=DESCRIPTION] [--update-labels=[KEY=VALUE,...]] [--add-package-uris=[PACKAGE-URIS,...] | --clear-package-uris | --remove-package-uris=[PACKAGE-URIS,...] | --set-package-uris=[PACKAGE-URIS,...] --clear-model-class | --model-class=MODEL_CLASS] [--clear-labels | --remove-labels=[KEY,...]] [GCLOUD_WIDE_FLAG ...]

DESCRIPTION

(ALPHA) Update a Cloud ML Engine version.

POSITIONAL ARGUMENTS

Version resource - The Cloud ML Engine 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. This positional must be specified if any of the other arguments in this group are specified.

--model=MODEL

The model for the version.

FLAGS

--description=DESCRIPTION

The description of the version.

--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.

Configure user code in prediction. Cloud ML Engine allows a model to have user-provided prediction code; these options configure that code.

These flags modify the member user-supplied packages to use for prediction of this version. The values should be given as a comma-separated list of Google Cloud Storage URIs (gs://...). At most one of these may be specified:

--add-package-uris=[PACKAGE-URIS,...]

Append the given values to the current user-supplied packages to use for prediction.

--clear-package-uris

Empty the current user-supplied packages to use for prediction.

--remove-package-uris=[PACKAGE-URIS,...]

Remove the given values from the current user-supplied packages to use for prediction.

--set-package-uris=[PACKAGE-URIS,...]

Completely replace the current user-supplied packages to use for prediction with the given values.

The fully-qualified name of the custom Model class in the package provided for custom prediction. For example, my_package.SequenceModel. At most one of these may be specified:

--clear-model-class

Clear the custom Model class from the version.

--model-class=MODEL_CLASS

Set the custom Model class for the version.

At most one of these may 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 alpha ml-engine versions update --clear-labels

To set the labels to exactly "foo" and "baz":

$ gcloud alpha 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.

GCLOUD WIDE FLAGS

These flags are available to all commands: --account, --configuration, --flags-file, --flatten, --format, --help, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity. Run $ gcloud help for details.

NOTES

This command is currently in ALPHA and may change without notice. If this command fails with API permission errors despite specifying the right project, you will have to apply for early access and have your projects registered on the API whitelist to use it. To do so, contact Support at cloud.google.com/support These variants are also available:

$ gcloud ml-engine versions update $ gcloud beta ml-engine versions update