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 1810

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 1810

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 1810

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 1810

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