Class: Aws::MachineLearning::Types::RealtimeEndpointInfo
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::RealtimeEndpointInfo
- Defined in:
- gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb
Overview
Describes the real-time endpoint information for an MLModel.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#created_at ⇒ Time
The time that the request to create the real-time endpoint for the
MLModelwas received. -
#endpoint_status ⇒ String
The current status of the real-time endpoint for the
MLModel. -
#endpoint_url ⇒ String
The URI that specifies where to send real-time prediction requests for the
MLModel. -
#peak_requests_per_second ⇒ Integer
The maximum processing rate for the real-time endpoint for
MLModel, measured in incoming requests per second.
Instance Attribute Details
#created_at ⇒ Time
The time that the request to create the real-time endpoint for the
MLModel was received. The time is expressed in epoch time.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3078 class RealtimeEndpointInfo < Struct.new( :peak_requests_per_second, :created_at, :endpoint_url, :endpoint_status) SENSITIVE = [] include Aws::Structure end |
#endpoint_status ⇒ String
The current status of the real-time endpoint for the MLModel. This
element can have one of the following values:
NONE- Endpoint does not exist or was previously deleted.READY- Endpoint is ready to be used for real-time predictions.UPDATING- Updating/creating the endpoint.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3078 class RealtimeEndpointInfo < Struct.new( :peak_requests_per_second, :created_at, :endpoint_url, :endpoint_status) SENSITIVE = [] include Aws::Structure end |
#endpoint_url ⇒ String
The URI that specifies where to send real-time prediction requests
for the MLModel.
Note: The application must wait until the real-time endpoint is ready before using this URI.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3078 class RealtimeEndpointInfo < Struct.new( :peak_requests_per_second, :created_at, :endpoint_url, :endpoint_status) SENSITIVE = [] include Aws::Structure end |
#peak_requests_per_second ⇒ Integer
The maximum processing rate for the real-time endpoint for
MLModel, measured in incoming requests per second.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3078 class RealtimeEndpointInfo < Struct.new( :peak_requests_per_second, :created_at, :endpoint_url, :endpoint_status) SENSITIVE = [] include Aws::Structure end |