Class: Aws::Personalize::Types::CreateSolutionVersionRequest

Inherits:

Struct

• Object
• Struct
• Aws::Personalize::Types::CreateSolutionVersionRequest

Includes:

Structure

Defined in:

lib/aws-sdk-personalize/types.rb

Overview

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #name ⇒ String

  The name of the solution version.

• #solution_arn ⇒ String

  The Amazon Resource Name (ARN) of the solution containing the training configuration information.

• #tags ⇒ Array<Types::Tag>

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

• #training_mode ⇒ String

  The scope of training to be performed when creating the solution version.

Instance Attribute Details

#name ⇒ String

The name of the solution version.

Returns:

• (String)

# File 'lib/aws-sdk-personalize/types.rb', line 1842

class CreateSolutionVersionRequest < Struct.new(
  :name,
  :solution_arn,
  :training_mode,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#solution_arn ⇒ String

The Amazon Resource Name (ARN) of the solution containing the training configuration information.

Returns:

• (String)

# File 'lib/aws-sdk-personalize/types.rb', line 1842

class CreateSolutionVersionRequest < Struct.new(
  :name,
  :solution_arn,
  :training_mode,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tags ⇒ Array<Types::Tag>

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

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

Returns:

• (Array<Types::Tag>)

# File 'lib/aws-sdk-personalize/types.rb', line 1842

class CreateSolutionVersionRequest < Struct.new(
  :name,
  :solution_arn,
  :training_mode,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#training_mode ⇒ String

The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.

If you use [User-Personalization], you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see [Automatic updates].

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the

User-Personalization][1

recipe or the legacy [HRNN-Coldstart]

recipe.

[1]: docs.aws.amazon.com/personalize/latest/dg/native-recipe-new-item-USER_PERSONALIZATION.html [2]: docs.aws.amazon.com/personalize/latest/dg/use-case-recipe-features.html#maintaining-with-automatic-updates [3]: docs.aws.amazon.com/personalize/latest/dg/native-recipe-hrnn-coldstart.html

Returns:

• (String)

# File 'lib/aws-sdk-personalize/types.rb', line 1842

class CreateSolutionVersionRequest < Struct.new(
  :name,
  :solution_arn,
  :training_mode,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end