/AWS1/CL_SGM=>UPDATEINFERENCEEXPERIMENT()

About UpdateInferenceExperiment

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 DescribeInferenceExperiment.

Method Signature

IMPORTING

Required arguments:

IV_NAME TYPE /AWS1/SGMINFERENCEEXPERIMENT00 /AWS1/SGMINFERENCEEXPERIMENT00

The name of the inference experiment to be updated.

Optional arguments:

IO_SCHEDULE TYPE REF TO /AWS1/CL_SGMINFERENCEEXPERIM00 /AWS1/CL_SGMINFERENCEEXPERIM00

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.

IV_DESCRIPTION TYPE /AWS1/SGMINFERENCEEXPERIMENT02 /AWS1/SGMINFERENCEEXPERIMENT02

The description of the inference experiment.

IT_MODELVARIANTS TYPE /AWS1/CL_SGMMODELVARIANTCONFIG=>TT_MODELVARIANTCONFIGLIST TT_MODELVARIANTCONFIGLIST

An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

IO_DATASTORAGECONFIG TYPE REF TO /AWS1/CL_SGMINFERENCEEXPERIM01 /AWS1/CL_SGMINFERENCEEXPERIM01

The Amazon S3 location and configuration for storing inference request and response data.

IO_SHADOWMODECONFIG TYPE REF TO /AWS1/CL_SGMSHADOWMODECONFIG /AWS1/CL_SGMSHADOWMODECONFIG

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.

RETURNING

OO_OUTPUT TYPE REF TO /AWS1/CL_SGMUPINFERENCEEXPER01 /AWS1/CL_SGMUPINFERENCEEXPER01