production_variant: Create a production variant description suitable for use in a...

In DyfanJones/sagemaker-r-local: Sagemaker core classes, methods and functions

Create a production variant description suitable for use in a “ProductionVariant“ list.

Description

This is also part of a “CreateEndpointConfig“ request.

Usage

production_variant(
  model_name,
  instance_type = NULL,
  initial_instance_count = NULL,
  variant_name = "AllTraffic",
  initial_weight = 1,
  accelerator_type = NULL,
  serverless_inference_config = NULL
)

Arguments

model_name	(str): The name of the SageMaker model this production variant references.
instance_type	(str): The EC2 instance type for this production variant. For example, ml.c4.8xlarge'.
initial_instance_count	(int): The initial instance count for this production variant (default: 1).
variant_name	(string): The “VariantName“ of this production variant (default: 'AllTraffic').
initial_weight	(int): The relative “InitialVariantWeight“ of this production variant (default: 1).
accelerator_type	(str): Type of Elastic Inference accelerator for this production variant. For example, 'ml.eia1.medium'. For more information: https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html
serverless_inference_config	(list): Specifies configuration dict related to serverless endpoint. The dict is converted from sagemaker.model_monitor.ServerlessInferenceConfig object (default: None)

Value

dict[str, str]: An SageMaker “ProductionVariant“ description

DyfanJones/sagemaker-r-local documentation built on June 14, 2022, 10:32 p.m.