Update Inference Experiment
| sagemaker_update_inference_experiment | R Documentation |
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.
Usage¶
sagemaker_update_inference_experiment(Name, Schedule, Description,
ModelVariants, DataStorageConfig, ShadowModeConfig)
Arguments¶
Name[required] The name of the inference experiment to be updated.
ScheduleThe 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 isRunning, then you can update only the end date.DescriptionThe description of the inference experiment.
ModelVariantsAn array of
ModelVariantConfigobjects. There is one for each variant, whose infrastructure configuration you want to update.DataStorageConfigThe Amazon S3 location and configuration for storing inference request and response data.
ShadowModeConfigThe configuration of
ShadowModeinference 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.
Value¶
A list with the following syntax:
Request syntax¶
svc$update_inference_experiment(
Name = "string",
Schedule = list(
StartTime = as.POSIXct(
"2015-01-01"
),
EndTime = as.POSIXct(
"2015-01-01"
)
),
Description = "string",
ModelVariants = list(
list(
ModelName = "string",
VariantName = "string",
InfrastructureConfig = list(
InfrastructureType = "RealTimeInference",
RealTimeInferenceConfig = list(
InstanceType = "ml.t2.medium"|"ml.t2.large"|"ml.t2.xlarge"|"ml.t2.2xlarge"|"ml.t3.medium"|"ml.t3.large"|"ml.t3.xlarge"|"ml.t3.2xlarge"|"ml.m4.xlarge"|"ml.m4.2xlarge"|"ml.m4.4xlarge"|"ml.m4.10xlarge"|"ml.m4.16xlarge"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.12xlarge"|"ml.m5.24xlarge"|"ml.m5d.large"|"ml.m5d.xlarge"|"ml.m5d.2xlarge"|"ml.m5d.4xlarge"|"ml.m5d.8xlarge"|"ml.m5d.12xlarge"|"ml.m5d.16xlarge"|"ml.m5d.24xlarge"|"ml.c4.xlarge"|"ml.c4.2xlarge"|"ml.c4.4xlarge"|"ml.c4.8xlarge"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.18xlarge"|"ml.c5d.xlarge"|"ml.c5d.2xlarge"|"ml.c5d.4xlarge"|"ml.c5d.9xlarge"|"ml.c5d.18xlarge"|"ml.p2.xlarge"|"ml.p2.8xlarge"|"ml.p2.16xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.p3dn.24xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"|"ml.r5.large"|"ml.r5.xlarge"|"ml.r5.2xlarge"|"ml.r5.4xlarge"|"ml.r5.8xlarge"|"ml.r5.12xlarge"|"ml.r5.16xlarge"|"ml.r5.24xlarge"|"ml.g5.xlarge"|"ml.g5.2xlarge"|"ml.g5.4xlarge"|"ml.g5.8xlarge"|"ml.g5.16xlarge"|"ml.g5.12xlarge"|"ml.g5.24xlarge"|"ml.g5.48xlarge"|"ml.inf1.xlarge"|"ml.inf1.2xlarge"|"ml.inf1.6xlarge"|"ml.inf1.24xlarge"|"ml.p4d.24xlarge"|"ml.p4de.24xlarge"|"ml.p5.48xlarge"|"ml.m6i.large"|"ml.m6i.xlarge"|"ml.m6i.2xlarge"|"ml.m6i.4xlarge"|"ml.m6i.8xlarge"|"ml.m6i.12xlarge"|"ml.m6i.16xlarge"|"ml.m6i.24xlarge"|"ml.m6i.32xlarge"|"ml.m7i.large"|"ml.m7i.xlarge"|"ml.m7i.2xlarge"|"ml.m7i.4xlarge"|"ml.m7i.8xlarge"|"ml.m7i.12xlarge"|"ml.m7i.16xlarge"|"ml.m7i.24xlarge"|"ml.m7i.48xlarge"|"ml.c6i.large"|"ml.c6i.xlarge"|"ml.c6i.2xlarge"|"ml.c6i.4xlarge"|"ml.c6i.8xlarge"|"ml.c6i.12xlarge"|"ml.c6i.16xlarge"|"ml.c6i.24xlarge"|"ml.c6i.32xlarge"|"ml.c7i.large"|"ml.c7i.xlarge"|"ml.c7i.2xlarge"|"ml.c7i.4xlarge"|"ml.c7i.8xlarge"|"ml.c7i.12xlarge"|"ml.c7i.16xlarge"|"ml.c7i.24xlarge"|"ml.c7i.48xlarge"|"ml.r6i.large"|"ml.r6i.xlarge"|"ml.r6i.2xlarge"|"ml.r6i.4xlarge"|"ml.r6i.8xlarge"|"ml.r6i.12xlarge"|"ml.r6i.16xlarge"|"ml.r6i.24xlarge"|"ml.r6i.32xlarge"|"ml.r7i.large"|"ml.r7i.xlarge"|"ml.r7i.2xlarge"|"ml.r7i.4xlarge"|"ml.r7i.8xlarge"|"ml.r7i.12xlarge"|"ml.r7i.16xlarge"|"ml.r7i.24xlarge"|"ml.r7i.48xlarge"|"ml.m6id.large"|"ml.m6id.xlarge"|"ml.m6id.2xlarge"|"ml.m6id.4xlarge"|"ml.m6id.8xlarge"|"ml.m6id.12xlarge"|"ml.m6id.16xlarge"|"ml.m6id.24xlarge"|"ml.m6id.32xlarge"|"ml.c6id.large"|"ml.c6id.xlarge"|"ml.c6id.2xlarge"|"ml.c6id.4xlarge"|"ml.c6id.8xlarge"|"ml.c6id.12xlarge"|"ml.c6id.16xlarge"|"ml.c6id.24xlarge"|"ml.c6id.32xlarge"|"ml.r6id.large"|"ml.r6id.xlarge"|"ml.r6id.2xlarge"|"ml.r6id.4xlarge"|"ml.r6id.8xlarge"|"ml.r6id.12xlarge"|"ml.r6id.16xlarge"|"ml.r6id.24xlarge"|"ml.r6id.32xlarge"|"ml.g6.xlarge"|"ml.g6.2xlarge"|"ml.g6.4xlarge"|"ml.g6.8xlarge"|"ml.g6.12xlarge"|"ml.g6.16xlarge"|"ml.g6.24xlarge"|"ml.g6.48xlarge",
InstanceCount = 123
)
)
)
),
DataStorageConfig = list(
Destination = "string",
KmsKey = "string",
ContentType = list(
CsvContentTypes = list(
"string"
),
JsonContentTypes = list(
"string"
)
)
),
ShadowModeConfig = list(
SourceModelVariantName = "string",
ShadowModelVariants = list(
list(
ShadowModelVariantName = "string",
SamplingPercentage = 123
)
)
)
)