developer.sailpoint.com/docs/tools/sdk/python/Reference/V2024/Models/RecommendationConfigDto.md

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id	title	pagination_label	sidebar_label	sidebar_class_name	keywords	slug	tags
v2024-recommendation-config-dto	RecommendationConfigDto	RecommendationConfigDto	RecommendationConfigDto	pythonsdk	python Python sdk RecommendationConfigDto V2024RecommendationConfigDto	/tools/sdk/python/v2024/models/recommendation-config-dto	SDK Software Development Kit RecommendationConfigDto V2024RecommendationConfigDto

RecommendationConfigDto

Properties

Name	Type	Description	Notes
recommender_features	[]str	List of identity attributes to use for calculating certification recommendations	[optional]
peer_group_percentage_threshold	float	The percent value that the recommendation calculation must surpass to produce a YES recommendation	[optional]
run_auto_select_once	bool	If true, rulesRecommenderConfig will be refreshed with new programatically selected attribute and threshold values on the next pipeline run	[optional] [default to False]
only_tune_threshold	bool	If true, rulesRecommenderConfig will be refreshed with new programatically selected threshold values on the next pipeline run	[optional] [default to False]
}

Example

from sailpoint.v2024.models.recommendation_config_dto import RecommendationConfigDto

recommendation_config_dto = RecommendationConfigDto(
recommender_features=[jobTitle, location, peer_group, department, active],
peer_group_percentage_threshold=0.5,
run_auto_select_once=False,
only_tune_threshold=False
)

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