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')