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developer.sailpoint.com/docs/tools/sdk/python/Reference/V2024/Models/RecommenderCalculations.md
2025-02-20 12:59:19 -05:00

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v2024-recommender-calculations RecommenderCalculations RecommenderCalculations RecommenderCalculations pythonsdk
python
Python
sdk
RecommenderCalculations
V2024RecommenderCalculations
/tools/sdk/python/v2024/models/recommender-calculations
SDK
Software Development Kit
RecommenderCalculations
V2024RecommenderCalculations

RecommenderCalculations

Properties

Name Type Description Notes
identity_id str The ID of the identity [optional]
entitlement_id str The entitlement ID [optional]
recommendation str The actual recommendation [optional]
overall_weighted_score float The overall weighted score [optional]
feature_weighted_scores map[string]float The weighted score of each individual feature [optional]
threshold float The configured value against which the overallWeightedScore is compared [optional]
identity_attributes map[string]RecommenderCalculationsIdentityAttributesValue The values for your configured features [optional]
feature_values FeatureValueDto [optional]
}

Example

from sailpoint.v2024.models.recommender_calculations import RecommenderCalculations

recommender_calculations = RecommenderCalculations(
identity_id='2c91808457d8f3ab0157e3e62cb4213c',
entitlement_id='2c91809050db617d0150e0bf3215385e',
recommendation='YES',
overall_weighted_score=1.337,
feature_weighted_scores={
                    'key' : 1.337
                    },
threshold=1.337,
identity_attributes={
                    'key' : sailpoint.v2024.models.recommender_calculations_identity_attributes_value.RecommenderCalculations_identityAttributes_value(
                        value = '', )
                    },
feature_values=sailpoint.v2024.models.feature_value_dto.FeatureValueDto(
                    feature = 'department', 
                    numerator = 14, 
                    denominator = 14, )
)

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