Class: Aws::MachineLearning::Types::CreateEvaluationInput

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

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#evaluation_data_source_id ⇒ String

The ID of the ‘DataSource` for the evaluation. The schema of the `DataSource` must match the schema used to create the `MLModel`.

Returns:

  • (String) 


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# File 'lib/aws-sdk-machinelearning/types.rb', line 512

class CreateEvaluationInput < Struct.new(
  :evaluation_id,
  :evaluation_name,
  :ml_model_id,
  :evaluation_data_source_id)
  SENSITIVE = []
  include Aws::Structure
end

#evaluation_id ⇒ String

A user-supplied ID that uniquely identifies the ‘Evaluation`.

Returns:

  • (String) 


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# File 'lib/aws-sdk-machinelearning/types.rb', line 512

class CreateEvaluationInput < Struct.new(
  :evaluation_id,
  :evaluation_name,
  :ml_model_id,
  :evaluation_data_source_id)
  SENSITIVE = []
  include Aws::Structure
end

#evaluation_name ⇒ String

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

Returns:

  • (String) 


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# File 'lib/aws-sdk-machinelearning/types.rb', line 512

class CreateEvaluationInput < Struct.new(
  :evaluation_id,
  :evaluation_name,
  :ml_model_id,
  :evaluation_data_source_id)
  SENSITIVE = []
  include Aws::Structure
end

#ml_model_id ⇒ String

The ID of the ‘MLModel` to evaluate.

The schema used in creating the ‘MLModel` must match the schema of the `DataSource` used in the `Evaluation`.

Returns:

  • (String) 


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# File 'lib/aws-sdk-machinelearning/types.rb', line 512

class CreateEvaluationInput < Struct.new(
  :evaluation_id,
  :evaluation_name,
  :ml_model_id,
  :evaluation_data_source_id)
  SENSITIVE = []
  include Aws::Structure
end