def Run(self, args):
versions_client = versions_api.VersionsClient()
operations_client = operations.OperationsClient()
version_ref = args.CONCEPTS.version.Parse()
versions_util.Update(versions_client, operations_client, version_ref,
args)
log.UpdatedResource(args.model, kind='ml engine model')
def _Run(args):
with endpoint_util.MlEndpointOverrides(region=args.region):
versions_client = versions_api.VersionsClient()
operations_client = operations.OperationsClient()
version_ref = args.CONCEPTS.version.Parse()
versions_util.Update(versions_client, operations_client, version_ref, args)
log.UpdatedResource(args.version, kind='AI Platform version')
def Run(self, args):
versions_client = versions_api.VersionsClient()
operations_client = operations.OperationsClient()
version_ref = args.CONCEPTS.version.Parse()
versions_util.Update(versions_client,
operations_client,
version_ref,
args,
enable_user_code=True)
log.UpdatedResource(args.version, kind='ML Engine version')
def Run(self, args): versions_client = versions_api.VersionsClient() operations_client = operations.OperationsClient() version_ref = args.CONCEPTS.version.Parse() versions_util.Update(versions_client, operations_client, version_ref, args,) log.UpdatedResource(args.version, kind='AI Platform version')
