Class: Aws::Personalize::Types::BatchInferenceJobConfig

Inherits:

Struct

Object
Struct
Aws::Personalize::Types::BatchInferenceJobConfig

show all

Includes:: Structure

Defined in:: lib/aws-sdk-personalize/types.rb

Overview

The configuration details of a batch inference job.

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#item_exploration_config ⇒ Hash<String,String>

A string to string map specifying the exploration configuration hyperparameters, including ‘explorationWeight` and `explorationItemAgeCutOff`, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items.
#ranking_influence ⇒ Hash<String,Float>

A map of ranking influence values for POPULARITY and FRESHNESS.

Instance Attribute Details

#item_exploration_config ⇒ `Hash<String,String>`

A string to string map specifying the exploration configuration hyperparameters, including ‘explorationWeight` and `explorationItemAgeCutOff`, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See [User-Personalization].

[1]: docs.aws.amazon.com/personalize/latest/dg/native-recipe-new-item-USER_PERSONALIZATION.html

Returns:

(Hash<String,String>)

# File 'lib/aws-sdk-personalize/types.rb', line 291

class BatchInferenceJobConfig < Struct.new(
  :item_exploration_config,
  :ranking_influence)
  SENSITIVE = []
  include Aws::Structure
end

#ranking_influence ⇒ `Hash<String,Float>`

A map of ranking influence values for POPULARITY and FRESHNESS. For each key, specify a numerical value between 0.0 and 1.0 that determines how much influence that ranking factor has on the final recommendations. A value closer to 1.0 gives more weight to the factor, while a value closer to 0.0 reduces its influence.