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')