Class: Aws::MachineLearning::Types::UpdateMLModelInput
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::UpdateMLModelInput
- Defined in:
- gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#ml_model_id ⇒ String
The ID assigned to the
MLModelduring creation. -
#ml_model_name ⇒ String
A user-supplied name or description of the
MLModel. -
#score_threshold ⇒ Float
The
ScoreThresholdused in binary classificationMLModelthat marks the boundary between a positive prediction and a negative prediction.
Instance Attribute Details
#ml_model_id ⇒ String
The ID assigned to the MLModel during creation.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3656 class UpdateMLModelInput < Struct.new( :ml_model_id, :ml_model_name, :score_threshold) SENSITIVE = [] include Aws::Structure end |
#ml_model_name ⇒ String
A user-supplied name or description of the MLModel.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3656 class UpdateMLModelInput < Struct.new( :ml_model_id, :ml_model_name, :score_threshold) SENSITIVE = [] include Aws::Structure end |
#score_threshold ⇒ Float
The ScoreThreshold used in binary classification MLModel that
marks the boundary between a positive prediction and a negative
prediction.
Output values greater than or equal to the ScoreThreshold receive
a positive result from the MLModel, such as true. Output values
less than the ScoreThreshold receive a negative response from the
MLModel, such as false.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3656 class UpdateMLModelInput < Struct.new( :ml_model_id, :ml_model_name, :score_threshold) SENSITIVE = [] include Aws::Structure end |