Class: Aws::Personalize::Types::SolutionConfig

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

Overview

Describes the configuration properties for the solution.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#algorithm_hyper_parameters ⇒ Hash<String,String>

Lists the algorithm hyperparameters and their values.

Returns:

  • (Hash<String,String>) 


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# File 'lib/aws-sdk-personalize/types.rb', line 4986

class SolutionConfig < Struct.new(
  :event_value_threshold,
  :hpo_config,
  :algorithm_hyper_parameters,
  :feature_transformation_parameters,
  :auto_ml_config,
  :optimization_objective,
  :training_data_config)
  SENSITIVE = []
  include Aws::Structure
end

#auto_ml_config ⇒ Types::AutoMLConfig

The [AutoMLConfig] object containing a list of recipes to search when AutoML is performed.

[1]: docs.aws.amazon.com/personalize/latest/dg/API_AutoMLConfig.html

Returns:



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# File 'lib/aws-sdk-personalize/types.rb', line 4986

class SolutionConfig < Struct.new(
  :event_value_threshold,
  :hpo_config,
  :algorithm_hyper_parameters,
  :feature_transformation_parameters,
  :auto_ml_config,
  :optimization_objective,
  :training_data_config)
  SENSITIVE = []
  include Aws::Structure
end

#event_value_threshold ⇒ String

Only events with a value greater than or equal to this threshold are used for training a model.

Returns:

  • (String) 


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# File 'lib/aws-sdk-personalize/types.rb', line 4986

class SolutionConfig < Struct.new(
  :event_value_threshold,
  :hpo_config,
  :algorithm_hyper_parameters,
  :feature_transformation_parameters,
  :auto_ml_config,
  :optimization_objective,
  :training_data_config)
  SENSITIVE = []
  include Aws::Structure
end

#feature_transformation_parameters ⇒ Hash<String,String>

Lists the feature transformation parameters.

Returns:

  • (Hash<String,String>) 


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# File 'lib/aws-sdk-personalize/types.rb', line 4986

class SolutionConfig < Struct.new(
  :event_value_threshold,
  :hpo_config,
  :algorithm_hyper_parameters,
  :feature_transformation_parameters,
  :auto_ml_config,
  :optimization_objective,
  :training_data_config)
  SENSITIVE = []
  include Aws::Structure
end

#hpo_config ⇒ Types::HPOConfig

Describes the properties for hyperparameter optimization (HPO).

Returns:



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# File 'lib/aws-sdk-personalize/types.rb', line 4986

class SolutionConfig < Struct.new(
  :event_value_threshold,
  :hpo_config,
  :algorithm_hyper_parameters,
  :feature_transformation_parameters,
  :auto_ml_config,
  :optimization_objective,
  :training_data_config)
  SENSITIVE = []
  include Aws::Structure
end

#optimization_objective ⇒ Types::OptimizationObjective

Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see [Optimizing a solution].

[1]: docs.aws.amazon.com/personalize/latest/dg/optimizing-solution-for-objective.html

Returns:



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# File 'lib/aws-sdk-personalize/types.rb', line 4986

class SolutionConfig < Struct.new(
  :event_value_threshold,
  :hpo_config,
  :algorithm_hyper_parameters,
  :feature_transformation_parameters,
  :auto_ml_config,
  :optimization_objective,
  :training_data_config)
  SENSITIVE = []
  include Aws::Structure
end

#training_data_config ⇒ Types::TrainingDataConfig

Specifies the training data configuration to use when creating a custom solution version (trained model).

Returns:



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# File 'lib/aws-sdk-personalize/types.rb', line 4986

class SolutionConfig < Struct.new(
  :event_value_threshold,
  :hpo_config,
  :algorithm_hyper_parameters,
  :feature_transformation_parameters,
  :auto_ml_config,
  :optimization_objective,
  :training_data_config)
  SENSITIVE = []
  include Aws::Structure
end