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.
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      #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.
| 3078 3079 3080 3081 3082 3083 3084 3085 | # 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.
| 3078 3079 3080 3081 3082 3083 3084 3085 | # 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.
| 3078 3079 3080 3081 3082 3083 3084 3085 | # 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.
| 3078 3079 3080 3081 3082 3083 3084 3085 | # 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 |