def Run(self, args): models_client = models.ModelsClient() labels = models_util.ParseCreateLabels(models_client, args) model = models_util.Create(models_client, args.model, regions=args.regions, enable_logging=args.enable_logging, labels=labels) log.CreatedResource(model.name, kind='ml engine model')
def _Run(self, args, support_console_logging=False): models_client = models.ModelsClient() labels = models_util.ParseCreateLabels(models_client, args) enable_console_logging = (support_console_logging and args.enable_console_logging) model = models_util.Create(models_client, args.model, regions=args.regions, enable_logging=args.enable_logging, enable_console_logging=enable_console_logging, labels=labels, description=args.description) log.CreatedResource(model.name, kind='ml engine model')
def _Run(self, args, support_console_logging=False): region, model_regions = models_util.GetModelRegion(args) with endpoint_util.MlEndpointOverrides(region=region): models_client = models.ModelsClient() labels = models_util.ParseCreateLabels(models_client, args) enable_console_logging = (support_console_logging and args.enable_console_logging) model = models_util.Create( models_client, args.model, model_regions, enable_logging=args.enable_logging, enable_console_logging=enable_console_logging, labels=labels, description=args.description) log.CreatedResource(model.name, kind='ai platform model')
def Run(self, args): models_util.Create(models.ModelsClient('v1'), args.model, regions=args.regions, enable_logging=args.enable_logging)
def Run(self, args): model = models_util.Create(models.ModelsClient(), args.model, regions=args.regions, enable_logging=args.enable_logging) log.CreatedResource(model.name, kind='ml engine model')