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UpdateRecommenderRequest

Source code in docs_src/capo_customer_profiles/types/update_recommender_request.py 
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class UpdateRecommenderRequest(TypedDict, closed=True):
    domain_name: "capo_customer_profiles.types.name.name"
    """<p>The unique name of the domain.</p>"""
    recommender_name: "capo_customer_profiles.types.name.name"
    """<p>The name of the recommender to update.</p>"""
    description: NotRequired[
        "capo_customer_profiles.types.sensitive_text.sensitiveText"
    ]
    """<p>The new description to assign to the recommender.</p>"""
    recommender_config: NotRequired[
        "capo_customer_profiles.types.recommender_config.RecommenderConfig"
    ]
    """<p>The new configuration settings to apply to the recommender, including updated parameters and settings that define its behavior.</p>"""
    recommender_version_name: NotRequired[
        "capo_customer_profiles.types.recommender_version_name.RecommenderVersionName"
    ]
    """<p>The name of a specific recommender version to activate as part of this update (for example, to roll back to a previously trained version).</p>"""

description instance-attribute 

description: NotRequired[sensitiveText]

The new description to assign to the recommender.

domain_name instance-attribute 

domain_name: name

The unique name of the domain.

recommender_config instance-attribute 

recommender_config: NotRequired[RecommenderConfig]

The new configuration settings to apply to the recommender, including updated parameters and settings that define its behavior.

recommender_name instance-attribute 

recommender_name: name

The name of the recommender to update.

recommender_version_name instance-attribute 

recommender_version_name: NotRequired[RecommenderVersionName]

The name of a specific recommender version to activate as part of this update (for example, to roll back to a previously trained version).