Class: Aws::Personalize::Types::CreateSolutionRequest

Inherits:

Struct

• Object
• Struct
• Aws::Personalize::Types::CreateSolutionRequest

Includes:

Structure

Defined in:

lib/aws-sdk-personalize/types.rb

Overview

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #dataset_group_arn ⇒ String

  The Amazon Resource Name (ARN) of the dataset group that provides the training data.

• #event_type ⇒ String

  When your have multiple event types (using an ‘EVENT_TYPE` schema field), this parameter specifies which event type (for example, ’click’ or ‘like’) is used for training the model.

• #name ⇒ String

  The name for the solution.

• #perform_auto_ml ⇒ Boolean

  We don’t recommend enabling automated machine learning.

• #perform_auto_training ⇒ Boolean

  Whether the solution uses automatic training to create new solution versions (trained models).

• #perform_hpo ⇒ Boolean

  Whether to perform hyperparameter optimization (HPO) on the specified or selected recipe.

• #recipe_arn ⇒ String

  The Amazon Resource Name (ARN) of the recipe to use for model training.

• #solution_config ⇒ Types::SolutionConfig

  The configuration properties for the solution.

• #tags ⇒ Array<Types::Tag>

  A list of [tags] to apply to the solution.

Instance Attribute Details

#dataset_group_arn ⇒ String

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

Returns:

• (String)

# File 'lib/aws-sdk-personalize/types.rb', line 1737

class CreateSolutionRequest < Struct.new(
  :name,
  :perform_hpo,
  :perform_auto_ml,
  :perform_auto_training,
  :recipe_arn,
  :dataset_group_arn,
  :event_type,
  :solution_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#event_type ⇒ String

When your have multiple event types (using an ‘EVENT_TYPE` schema field), this parameter specifies which event type (for example, ’click’ or ‘like’) is used for training the model.

If you do not provide an ‘eventType`, Amazon Personalize will use all interactions for training with equal weight regardless of type.

Returns:

• (String)

# File 'lib/aws-sdk-personalize/types.rb', line 1737

class CreateSolutionRequest < Struct.new(
  :name,
  :perform_hpo,
  :perform_auto_ml,
  :perform_auto_training,
  :recipe_arn,
  :dataset_group_arn,
  :event_type,
  :solution_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#name ⇒ String

The name for the solution.

Returns:

• (String)

# File 'lib/aws-sdk-personalize/types.rb', line 1737

class CreateSolutionRequest < Struct.new(
  :name,
  :perform_hpo,
  :perform_auto_ml,
  :perform_auto_training,
  :recipe_arn,
  :dataset_group_arn,
  :event_type,
  :solution_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#perform_auto_ml ⇒ Boolean

We don’t recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see [Choosing a recipe].

Whether to perform automated machine learning (AutoML). The default is ‘false`. For this case, you must specify `recipeArn`.

When set to ‘true`, Amazon Personalize analyzes your training data and selects the optimal USER_PERSONALIZATION recipe and hyperparameters. In this case, you must omit `recipeArn`. Amazon Personalize determines the optimal recipe by running tests with different values for the hyperparameters. AutoML lengthens the training process as compared to selecting a specific recipe.

[1]: docs.aws.amazon.com/personalize/latest/dg/working-with-predefined-recipes.html

Returns:

• (Boolean)

# File 'lib/aws-sdk-personalize/types.rb', line 1737

class CreateSolutionRequest < Struct.new(
  :name,
  :perform_hpo,
  :perform_auto_ml,
  :perform_auto_training,
  :recipe_arn,
  :dataset_group_arn,
  :event_type,
  :solution_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#perform_auto_training ⇒ Boolean

Whether the solution uses automatic training to create new solution versions (trained models). The default is ‘True` and the solution automatically creates new solution versions every 7 days. You can change the training frequency by specifying a `schedulingExpression` in the `AutoTrainingConfig` as part of solution configuration. For more information about automatic training, see [Configuring automatic training].

Automatic solution version creation starts within one hour after the solution is ACTIVE. If you manually create a solution version within the hour, the solution skips the first automatic training.

After training starts, you can get the solution version’s Amazon Resource Name (ARN) with the [ListSolutionVersions] API operation. To get its status, use the [DescribeSolutionVersion].

[1]: docs.aws.amazon.com/personalize/latest/dg/solution-config-auto-training.html [2]: docs.aws.amazon.com/personalize/latest/dg/API_ListSolutionVersions.html [3]: docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolutionVersion.html

Returns:

• (Boolean)

# File 'lib/aws-sdk-personalize/types.rb', line 1737

class CreateSolutionRequest < Struct.new(
  :name,
  :perform_hpo,
  :perform_auto_ml,
  :perform_auto_training,
  :recipe_arn,
  :dataset_group_arn,
  :event_type,
  :solution_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#perform_hpo ⇒ Boolean

Whether to perform hyperparameter optimization (HPO) on the specified or selected recipe. The default is ‘false`.

When performing AutoML, this parameter is always ‘true` and you should not set it to `false`.

Returns:

• (Boolean)

# File 'lib/aws-sdk-personalize/types.rb', line 1737

class CreateSolutionRequest < Struct.new(
  :name,
  :perform_hpo,
  :perform_auto_ml,
  :perform_auto_training,
  :recipe_arn,
  :dataset_group_arn,
  :event_type,
  :solution_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#recipe_arn ⇒ String

The Amazon Resource Name (ARN) of the recipe to use for model training. This is required when ‘performAutoML` is false. For information about different Amazon Personalize recipes and their ARNs, see [Choosing a recipe].

[1]: docs.aws.amazon.com/personalize/latest/dg/working-with-predefined-recipes.html

Returns:

• (String)

# File 'lib/aws-sdk-personalize/types.rb', line 1737

class CreateSolutionRequest < Struct.new(
  :name,
  :perform_hpo,
  :perform_auto_ml,
  :perform_auto_training,
  :recipe_arn,
  :dataset_group_arn,
  :event_type,
  :solution_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#solution_config ⇒ Types::SolutionConfig

The configuration properties for the solution. When ‘performAutoML` is set to true, Amazon Personalize only evaluates the `autoMLConfig` section of the solution configuration.

<note markdown=“1”> Amazon Personalize doesn’t support configuring the ‘hpoObjective` at this time.

</note>

Returns:

• (Types::SolutionConfig)

# File 'lib/aws-sdk-personalize/types.rb', line 1737

class CreateSolutionRequest < Struct.new(
  :name,
  :perform_hpo,
  :perform_auto_ml,
  :perform_auto_training,
  :recipe_arn,
  :dataset_group_arn,
  :event_type,
  :solution_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tags ⇒ Array<Types::Tag>

A list of [tags] to apply to the solution.

[1]: docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html

Returns:

• (Array<Types::Tag>)

# File 'lib/aws-sdk-personalize/types.rb', line 1737

class CreateSolutionRequest < Struct.new(
  :name,
  :perform_hpo,
  :perform_auto_ml,
  :perform_auto_training,
  :recipe_arn,
  :dataset_group_arn,
  :event_type,
  :solution_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end