| Column Name | Column Data Type |
|---|
dataset_group_arn Input Column
The Amazon Resource Name (ARN) of the Domain dataset group that contains the recommender. | VARCHAR |
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
_aws_region Input Column
The AWS region to use. | VARCHAR |
creation_date_time
The date and time (in Unix format) that the recommender was created. | TIMESTAMP_S |
last_updated_date_time
The date and time (in Unix format) that the recommender was last updated. | TIMESTAMP_S |
name
The name of the recommender. | VARCHAR |
recipe_arn
The Amazon Resource Name (ARN) of the recipe (Domain dataset group use case) that the recommender was created for. | VARCHAR |
recommender_arn
The Amazon Resource Name (ARN) of the recommender. | VARCHAR |
recommender_config
The configuration details of the recommender. | STRUCT(
"item_exploration_config" MAP(VARCHAR, VARCHAR),
"min_recommendation_requests_per_second" BIGINT,
"training_data_config" STRUCT(
"excluded_dataset_columns" MAP(VARCHAR, VARCHAR[])
),
"enable_metadata_with_recommendations" BOOLEAN
) |
Show child fields- recommender_config.enable_metadata_with_recommendations
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. - recommender_config.item_exploration_config
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). - recommender_config.min_recommendation_requests_per_second
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. - recommender_config.training_data_config
Specifies the training data configuration to use when creating a domain recommender. Show child fields- recommender_config.training_data_config.excluded_dataset_columns
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
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 | VARCHAR |