GetRecommenderResponse
¶
Source code in docs_src/capo_customer_profiles/types/get_recommender_response.py
active_recommender_version_name
instance-attribute
¶
active_recommender_version_name: NotRequired[RecommenderVersionName]
The name of the recommender version currently serving recommendations. Omitted when no active recommender version is set.
created_at
instance-attribute
¶
created_at: NotRequired[timestamp]
The timestamp of when the recommender was created.
description
instance-attribute
¶
description: NotRequired[sensitiveText]
A detailed description of the recommender providing information about its purpose and functionality.
failure_reason
instance-attribute
¶
failure_reason: NotRequired[str]
If the recommender fails, provides the reason for the failure.
last_updated_at
instance-attribute
¶
last_updated_at: NotRequired[timestamp]
The timestamp of when the recommender was edited.
latest_recommender_update
instance-attribute
¶
latest_recommender_update: NotRequired[RecommenderUpdate]
Information about the most recent update performed on the recommender, including status and timestamp.
recommender_config
instance-attribute
¶
recommender_config: NotRequired[RecommenderConfig]
The configuration settings for the recommender, including parameters and settings that define its behavior.
recommender_recipe_name
instance-attribute
¶
recommender_recipe_name: RecommenderRecipeName
The name of the recipe used by the recommender to generate recommendations.
recommender_schema_name
instance-attribute
¶
recommender_schema_name: NotRequired[name]
The name of the recommender schema associated with this recommender.
status
instance-attribute
¶
status: NotRequired[RecommenderStatus]
The current status of the recommender, indicating whether it is active, creating, updating, or in another state.
tags
instance-attribute
¶
tags: NotRequired[TagMap]
The tags used to organize, track, or control access for this resource.
training_metrics
instance-attribute
¶
training_metrics: NotRequired[TrainingMetricsList]
A set of metrics that provide information about the recommender's training performance and accuracy.