def Run(self, args): return versions_util.List(versions_api.VersionsClient(), model=args.model)
def Run(self, args): return versions_util.Describe(versions_api.VersionsClient(), args.version, model=args.model)
def _Run(args): with endpoint_util.MlEndpointOverrides(region=args.region): client = versions_api.VersionsClient() return versions_util.SetDefault(client, args.version, model=args.model)
def _Run(args): region = region_util.GetRegion(args) with endpoint_util.MlEndpointOverrides(region=region): client = versions_api.VersionsClient() return versions_util.List(client, model=args.model)
def Run(self, args): return versions_util.SetDefault(versions_api.VersionsClient(), args.version, model=args.model)
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(self, args): return versions_util.Delete(versions_api.VersionsClient(), operations.OperationsClient(), args.version, model=args.model)
def Run(self, args): with endpoint_util.MlEndpointOverrides(region=args.region): client = versions_api.VersionsClient() return versions_util.List(client, model=args.model)
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')