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

Inherits:

Struct

• Object
• Struct
• Aws::MachineLearning::Types::UpdateMLModelInput

Includes:

Structure

Defined in:

lib/aws-sdk-machinelearning/types.rb

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #ml_model_id ⇒ String

  The ID assigned to the ‘MLModel` during creation.

• #ml_model_name ⇒ String

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

• #score_threshold ⇒ Float

  The ‘ScoreThreshold` used in binary classification `MLModel` that 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.

Returns:

• (String)

# File '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`.

Returns:

• (String)

# File '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`.

Returns:

• (Float)

# File '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