| Package | Description |
|---|---|
| software.amazon.awssdk.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
static RecommendationMetrics.Builder |
RecommendationMetrics.builder() |
RecommendationMetrics.Builder |
RecommendationMetrics.Builder.costPerHour(Float costPerHour)
Defines the cost per hour for the instance.
|
RecommendationMetrics.Builder |
RecommendationMetrics.Builder.costPerInference(Float costPerInference)
Defines the cost per inference for the instance .
|
RecommendationMetrics.Builder |
RecommendationMetrics.Builder.cpuUtilization(Float cpuUtilization)
The expected CPU utilization at maximum invocations per minute for the instance.
|
RecommendationMetrics.Builder |
RecommendationMetrics.Builder.maxInvocations(Integer maxInvocations)
The expected maximum number of requests per minute for the instance.
|
RecommendationMetrics.Builder |
RecommendationMetrics.Builder.memoryUtilization(Float memoryUtilization)
The expected memory utilization at maximum invocations per minute for the instance.
|
RecommendationMetrics.Builder |
RecommendationMetrics.Builder.modelLatency(Integer modelLatency)
The expected model latency at maximum invocation per minute for the instance.
|
RecommendationMetrics.Builder |
RecommendationMetrics.Builder.modelSetupTime(Integer modelSetupTime)
The time it takes to launch new compute resources for a serverless endpoint.
|
RecommendationMetrics.Builder |
RecommendationMetrics.toBuilder() |
| Modifier and Type | Method and Description |
|---|---|
static Class<? extends RecommendationMetrics.Builder> |
RecommendationMetrics.serializableBuilderClass() |
| Modifier and Type | Method and Description |
|---|---|
default RecommendationJobInferenceBenchmark.Builder |
RecommendationJobInferenceBenchmark.Builder.metrics(Consumer<RecommendationMetrics.Builder> metrics)
Sets the value of the Metrics property for this object.
|
default InferenceRecommendation.Builder |
InferenceRecommendation.Builder.metrics(Consumer<RecommendationMetrics.Builder> metrics)
The metrics used to decide what recommendation to make.
|
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