A lead for each pivot which triggers the whole process - to find a risk for this pivot.
| Name | Type | Description | Notes |
|---|---|---|---|
| count | int | Count of events. | [optional] |
| creation_time | datetime | The lead creation time in format YYYY-MM-DDTHH:mm:ss.sssZ. | [optional] |
| info | List[Riskanalyticsenginev3AdditionalInfo] | Additional info. | [optional] |
| is_observation | bool | Is observation flag for the lead to set true based on lead information. | [optional] |
| lead_key | str | The Lead Key name. | [optional] |
| pivot | Riskanalyticsenginev3Pivot | [optional] | |
| score | float | The lead score (normalized score between 0 and 1). | [optional] |
| severity | int | Lead severity. | [optional] |
| type | Riskanalyticsenginev3LeadType | [optional] [default to Riskanalyticsenginev3LeadType.UNDEFINED_LEAD_TYPE] |
from ibm_gdsc_sdk_saas.models.riskanalyticsenginev3_lead import Riskanalyticsenginev3Lead
# TODO update the JSON string below
json = "{}"
# create an instance of Riskanalyticsenginev3Lead from a JSON string
riskanalyticsenginev3_lead_instance = Riskanalyticsenginev3Lead.from_json(json)
# print the JSON string representation of the object
print(Riskanalyticsenginev3Lead.to_json())
# convert the object into a dict
riskanalyticsenginev3_lead_dict = riskanalyticsenginev3_lead_instance.to_dict()
# create an instance of Riskanalyticsenginev3Lead from a dict
riskanalyticsenginev3_lead_from_dict = Riskanalyticsenginev3Lead.from_dict(riskanalyticsenginev3_lead_dict)