RecommendationMetrics - Amazon SageMaker
ContentsSee Also
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

RecommendationMetrics

The metrics of recommendations.

Contents

CostPerHour

Defines the cost per hour for the instance.

Type: Float

Required: Yes

CostPerInference

Defines the cost per inference for the instance .

Type: Float

Required: Yes

MaxInvocations

The expected maximum number of requests per minute for the instance.

Type: Integer

Required: Yes

ModelLatency

The expected model latency at maximum invocation per minute for the instance.

Type: Integer

Required: Yes

CpuUtilization

The expected CPU utilization at maximum invocations per minute for the instance.

NaN indicates that the value is not available.

Type: Float

Valid Range: Minimum value of 0.0.

Required: No

MemoryUtilization

The expected memory utilization at maximum invocations per minute for the instance.

NaN indicates that the value is not available.

Type: Float

Valid Range: Minimum value of 0.0.

Required: No

ModelSetupTime

The time it takes to launch new compute resources for a serverless endpoint. The time can vary depending on the model size, how long it takes to download the model, and the start-up time of the container.

NaN indicates that the value is not available.

Type: Integer

Valid Range: Minimum value of 0.

Required: No

See Also

For more information about using this API in one of the language-specific Amazon SDKs, see the following: