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aws_personalize_recommender

account_id

Type: STRING

creation_date_time

Type: TIMESTAMP
Provider name: creationDateTime
Description: The date and time (in Unix format) that the recommender was created.

dataset_group_arn

Type: STRING
Provider name: datasetGroupArn
Description: The Amazon Resource Name (ARN) of the Domain dataset group that contains the recommender.

failure_reason

Type: STRING
Provider name: failureReason
Description: If a recommender fails, the reason behind the failure.

last_updated_date_time

Type: TIMESTAMP
Provider name: lastUpdatedDateTime
Description: The date and time (in Unix format) that the recommender was last updated.

latest_recommender_update

Type: STRUCT
Provider name: latestRecommenderUpdate
Description: Provides a summary of the latest updates to the recommender.

  • creation_date_time
    Type: TIMESTAMP
    Provider name: creationDateTime
    Description: The date and time (in Unix format) that the recommender update was created.
  • failure_reason
    Type: STRING
    Provider name: failureReason
    Description: If a recommender update fails, the reason behind the failure.
  • last_updated_date_time
    Type: TIMESTAMP
    Provider name: lastUpdatedDateTime
    Description: The date and time (in Unix time) that the recommender update was last updated.
  • recommender_config
    Type: STRUCT
    Provider name: recommenderConfig
    Description: The configuration details of the recommender update.
    • enable_metadata_with_recommendations
      Type: BOOLEAN
      Provider name: enableMetadataWithRecommendations
      Description: Whether metadata with recommendations is enabled for the recommender. If enabled, you can specify the columns from your Items dataset in your request for recommendations. Amazon Personalize returns this data for each item in the recommendation response. For information about enabling metadata for a recommender, see Enabling metadata in recommendations for a recommender. If you enable metadata in recommendations, you will incur additional costs. For more information, see Amazon Personalize pricing.
    • item_exploration_config
      Type: MAP_STRING_STRING
      Provider name: itemExplorationConfig
      Description: Specifies 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. Provide itemExplorationConfig data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).
    • min_recommendation_requests_per_second
      Type: INT32
      Provider name: minRecommendationRequestsPerSecond
      Description: Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support. A high minRecommendationRequestsPerSecond will increase your bill. We recommend starting with 1 for minRecommendationRequestsPerSecond (the default). Track your usage using Amazon CloudWatch metrics, and increase the minRecommendationRequestsPerSecond as necessary.
    • training_data_config
      Type: STRUCT
      Provider name: trainingDataConfig
      Description: Specifies the training data configuration to use when creating a domain recommender.
      • excluded_dataset_columns
        Type: STRING
        Provider name: excludedDatasetColumns
        Description: Specifies the columns to exclude from training. Each key is a dataset type, and each value is a list of columns. Exclude columns to control what data Amazon Personalize uses to generate recommendations. For example, you might have a column that you want to use only to filter recommendations. You can exclude this column from training and Amazon Personalize considers it only when filtering.
  • status
    Type: STRING
    Provider name: status
    Description: The status of the recommender update. A recommender update can be in one of the following states: CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

model_metrics

Type: STRING
Provider name: modelMetrics
Description: Provides evaluation metrics that help you determine the performance of a recommender. For more information, see Evaluating a recommender.

name

Type: STRING
Provider name: name
Description: The name of the recommender.

recipe_arn

Type: STRING
Provider name: recipeArn
Description: The Amazon Resource Name (ARN) of the recipe (Domain dataset group use case) that the recommender was created for.

recommender_arn

Type: STRING
Provider name: recommenderArn
Description: The Amazon Resource Name (ARN) of the recommender.

recommender_config

Type: STRUCT
Provider name: recommenderConfig
Description: The configuration details of the recommender.

  • enable_metadata_with_recommendations
    Type: BOOLEAN
    Provider name: enableMetadataWithRecommendations
    Description: Whether metadata with recommendations is enabled for the recommender. If enabled, you can specify the columns from your Items dataset in your request for recommendations. Amazon Personalize returns this data for each item in the recommendation response. For information about enabling metadata for a recommender, see Enabling metadata in recommendations for a recommender. If you enable metadata in recommendations, you will incur additional costs. For more information, see Amazon Personalize pricing.
  • item_exploration_config
    Type: MAP_STRING_STRING
    Provider name: itemExplorationConfig
    Description: Specifies 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. Provide itemExplorationConfig data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).
  • min_recommendation_requests_per_second
    Type: INT32
    Provider name: minRecommendationRequestsPerSecond
    Description: Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support. A high minRecommendationRequestsPerSecond will increase your bill. We recommend starting with 1 for minRecommendationRequestsPerSecond (the default). Track your usage using Amazon CloudWatch metrics, and increase the minRecommendationRequestsPerSecond as necessary.
  • training_data_config
    Type: STRUCT
    Provider name: trainingDataConfig
    Description: Specifies the training data configuration to use when creating a domain recommender.
    • excluded_dataset_columns
      Type: STRING
      Provider name: excludedDatasetColumns
      Description: Specifies the columns to exclude from training. Each key is a dataset type, and each value is a list of columns. Exclude columns to control what data Amazon Personalize uses to generate recommendations. For example, you might have a column that you want to use only to filter recommendations. You can exclude this column from training and Amazon Personalize considers it only when filtering.

status

Type: STRING
Provider name: status
Description: The status of the recommender. A recommender can be in one of the following states:

  • CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
  • STOP PENDING > STOP IN_PROGRESS > INACTIVE > START PENDING > START IN_PROGRESS > ACTIVE
  • DELETE PENDING > DELETE IN_PROGRESS

tags

Type: UNORDERED_LIST_STRING