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.beta.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.beta.models.recommender_calculations_identity_attributes_value.RecommenderCalculations_identityAttributes_value(
value = '', )
},
feature_values=sailpoint.beta.models.feature_value_dto.FeatureValueDto(
feature = 'department',
numerator = 14,
denominator = 14, )
)