Class: Aws::MachineLearning::Types::UpdateMLModelInput

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-machinelearning/types.rb

Overview

Note:

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

{
  ml_model_id: "EntityId", # required
  ml_model_name: "EntityName",
  score_threshold: 1.0,
}

Instance Attribute Summary collapse

Instance Attribute Details

#ml_model_id ⇒ String

The ID assigned to the ‘MLModel` during creation.

Returns:

  • (String) 


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# File 'lib/aws-sdk-machinelearning/types.rb', line 3840

class UpdateMLModelInput < Struct.new(
  :ml_model_id,
  :ml_model_name,
  :score_threshold)
  include Aws::Structure
end

#ml_model_name ⇒ String

A user-supplied name or description of the ‘MLModel`.

Returns:

  • (String) 


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# File 'lib/aws-sdk-machinelearning/types.rb', line 3840

class UpdateMLModelInput < Struct.new(
  :ml_model_id,
  :ml_model_name,
  :score_threshold)
  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`.

Returns:

  • (Float) 


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# File 'lib/aws-sdk-machinelearning/types.rb', line 3840

class UpdateMLModelInput < Struct.new(
  :ml_model_id,
  :ml_model_name,
  :score_threshold)
  include Aws::Structure
end