| Name | Type | Description | Notes |
|---|---|---|---|
| classification_details | Riskanalyticsenginev3ClassificationDetails | [optional] | |
| creation_time | datetime | The risk creation time in format YYYY-MM-DDTHH:mm:ss.sssZ. | [optional] |
| end_time | datetime | The leads end time in format YYYY-MM-DDTHH:mm:ss.sssZ. | [optional] |
| feature_sets | List[Riskanalyticsenginev3FeatureSet] | The risk features (scores). | [optional] |
| id | str | The risk id. | [optional] |
| is_emerging | bool | [optional] | |
| leads | List[Riskanalyticsenginev3Lead] | The risk leads. | [optional] |
| pivot | Riskanalyticsenginev3Pivot | [optional] | |
| score | int | The risk score. | [optional] |
| severity_level | Riskanalyticsenginev3SeverityLevel | [optional] [default to Riskanalyticsenginev3SeverityLevel.UNDEFINED_SEVERITY_LEVEL] | |
| start_time | datetime | The leads start time in format YYYY-MM-DDTHH:mm:ss.sssZ. | [optional] |
from ibm_gdsc_sdk_saas.models.riskanalyticsenginev3_risk import Riskanalyticsenginev3Risk
# TODO update the JSON string below
json = "{}"
# create an instance of Riskanalyticsenginev3Risk from a JSON string
riskanalyticsenginev3_risk_instance = Riskanalyticsenginev3Risk.from_json(json)
# print the JSON string representation of the object
print(Riskanalyticsenginev3Risk.to_json())
# convert the object into a dict
riskanalyticsenginev3_risk_dict = riskanalyticsenginev3_risk_instance.to_dict()
# create an instance of Riskanalyticsenginev3Risk from a dict
riskanalyticsenginev3_risk_from_dict = Riskanalyticsenginev3Risk.from_dict(riskanalyticsenginev3_risk_dict)