Class: Aws::SageMaker::Types::RecommendationJobStoppingConditions

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

Note:

When making an API call, you may pass RecommendationJobStoppingConditions data as a hash:

{
  max_invocations: 1,
  model_latency_thresholds: [
    {
      percentile: "String64",
      value_in_milliseconds: 1,
    },
  ],
}

Specifies conditions for stopping a job. When a job reaches a stopping condition limit, SageMaker ends the job.

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#max_invocationsInteger

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

Returns:

  • (Integer)


36035
36036
36037
36038
36039
36040
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36035

class RecommendationJobStoppingConditions < Struct.new(
  :max_invocations,
  :model_latency_thresholds)
  SENSITIVE = []
  include Aws::Structure
end

#model_latency_thresholdsArray<Types::ModelLatencyThreshold>

The interval of time taken by a model to respond as viewed from SageMaker. The interval includes the local communication time taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.

Returns:



36035
36036
36037
36038
36039
36040
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 36035

class RecommendationJobStoppingConditions < Struct.new(
  :max_invocations,
  :model_latency_thresholds)
  SENSITIVE = []
  include Aws::Structure
end