sagemaker_update_inference_experiment: Updates an inference experiment that you created

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Updates an inference experiment that you created

Description

Updates an inference experiment that you created. The status of the inference experiment has to be either Created, Running. For more information on the status of an inference experiment, see describe_inference_experiment.

See https://www.paws-r-sdk.com/docs/sagemaker_update_inference_experiment/ for full documentation.

Usage

sagemaker_update_inference_experiment(
  Name,
  Schedule = NULL,
  Description = NULL,
  ModelVariants = NULL,
  DataStorageConfig = NULL,
  ShadowModeConfig = NULL
)

Arguments

Name	[required] The name of the inference experiment to be updated.
Schedule	The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.
Description	The description of the inference experiment.
ModelVariants	An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.
DataStorageConfig	The Amazon S3 location and configuration for storing inference request and response data.
ShadowModeConfig	The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.