Class: Aws::LookoutforVision::Types::StartModelRequest
- Inherits:
-
Struct
- Object
- Struct
- Aws::LookoutforVision::Types::StartModelRequest
- Defined in:
- gems/aws-sdk-lookoutforvision/lib/aws-sdk-lookoutforvision/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#client_token ⇒ String
ClientToken is an idempotency token that ensures a call to
StartModel
completes only once. -
#max_inference_units ⇒ Integer
The maximum number of inference units to use for auto-scaling the model.
-
#min_inference_units ⇒ Integer
The minimum number of inference units to use.
-
#model_version ⇒ String
The version of the model that you want to start.
-
#project_name ⇒ String
The name of the project that contains the model that you want to start.
Instance Attribute Details
#client_token ⇒ String
ClientToken is an idempotency token that ensures a call to
StartModel
completes only once. You choose the value to pass. For
example, An issue might prevent you from getting a response from
StartModel
. In this case, safely retry your call to StartModel
by using the same ClientToken
parameter value.
If you don't supply a value for ClientToken
, the AWS SDK you are
using inserts a value for you. This prevents retries after a network
error from making multiple start requests. You'll need to provide
your own value for other use cases.
An error occurs if the other input parameters are not the same as in
the first request. Using a different value for ClientToken
is
considered a new call to StartModel
. An idempotency token is
active for 8 hours.
A suitable default value is auto-generated. You should normally not need to pass this option.
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# File 'gems/aws-sdk-lookoutforvision/lib/aws-sdk-lookoutforvision/types.rb', line 1793 class StartModelRequest < Struct.new( :project_name, :model_version, :min_inference_units, :client_token, :max_inference_units) SENSITIVE = [] include Aws::Structure end |
#max_inference_units ⇒ Integer
The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Lookout for Vision doesn't auto-scale the model.
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# File 'gems/aws-sdk-lookoutforvision/lib/aws-sdk-lookoutforvision/types.rb', line 1793 class StartModelRequest < Struct.new( :project_name, :model_version, :min_inference_units, :client_token, :max_inference_units) SENSITIVE = [] include Aws::Structure end |
#min_inference_units ⇒ Integer
The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
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# File 'gems/aws-sdk-lookoutforvision/lib/aws-sdk-lookoutforvision/types.rb', line 1793 class StartModelRequest < Struct.new( :project_name, :model_version, :min_inference_units, :client_token, :max_inference_units) SENSITIVE = [] include Aws::Structure end |
#model_version ⇒ String
The version of the model that you want to start.
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# File 'gems/aws-sdk-lookoutforvision/lib/aws-sdk-lookoutforvision/types.rb', line 1793 class StartModelRequest < Struct.new( :project_name, :model_version, :min_inference_units, :client_token, :max_inference_units) SENSITIVE = [] include Aws::Structure end |
#project_name ⇒ String
The name of the project that contains the model that you want to start.
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# File 'gems/aws-sdk-lookoutforvision/lib/aws-sdk-lookoutforvision/types.rb', line 1793 class StartModelRequest < Struct.new( :project_name, :model_version, :min_inference_units, :client_token, :max_inference_units) SENSITIVE = [] include Aws::Structure end |