gcloud_alpha_ml-engine_versions_list (1)
NAME
- gcloud alpha ml-engine versions list - list existing Cloud ML Engine versions
SYNOPSIS
-
gcloud alpha ml-engine versions list --model=MODEL [--filter=EXPRESSION] [--limit=LIMIT] [--page-size=PAGE_SIZE] [--sort-by=[FIELD,...]] [--uri] [GCLOUD_WIDE_FLAG ...]
DESCRIPTION
(ALPHA) List existing Cloud ML Engine versions.
REQUIRED FLAGS
-
- --model=MODEL
-
- Name of the model.
- Name of the model.
LIST COMMAND FLAGS
-
- --filter=EXPRESSION
-
Apply a Boolean filter EXPRESSION to each resource item to be listed. If
the expression evaluates True, then that item is listed. For more details
and examples of filter expressions, run $ gcloud topic filters. This flag
interacts with other flags that are applied in this order: --flatten,
--sort-by, --filter, --limit.
- --limit=LIMIT
-
Maximum number of resources to list. The default is unlimited. This flag
interacts with other flags that are applied in this order: --flatten,
--sort-by, --filter, --limit.
- --page-size=PAGE_SIZE
-
Some services group resource list output into pages. This flag specifies the
maximum number of resources per page. The default is determined by the service
if it supports paging, otherwise it is unlimited (no paging). Paging may
be applied before or after --filter and --limit depending on the
service.
- --sort-by=[FIELD,...]
-
Comma-separated list of resource field key names to sort by. The default order
is ascending. Prefix a field with ``~'' for descending order on that field. This
flag interacts with other flags that are applied in this order:
--flatten, --sort-by, --filter, --limit.
- --uri
-
Print a list of resource URIs instead of the default output.
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 list $ gcloud beta ml-engine versions list