Enterprise real-time risk monitoring and early warning method based on AutoML

The invention provides an enterprise real-time risk monitoring and early warning method based on AutoML, and belongs to the field of machine learning and real-time risk monitoring, and the method comprises the steps: 1, building an enterprise risk database; 2, building an enterprise risk theme library; 3, training an AutoML enterprise risk assessment model; 4, building a risk monitoring and early warning platform; and 5, real-time monitoring and early warning of enterprise risks are realized. And enterprise risk real-time monitoring and early warning are realized by adopting a big data framework according to platform user behavior data. 本发明提供一种基于AutoML的企业实时风险监测预警方法，属于机器学习及实时风险监控领域，本发明包括：1、企业风险数据库搭建；2、企业风险主题库搭建；3、训练AutoML企业风险评估模型；4、搭建风险监测预警平台；5、实现企业风险实时监测预警。采用大数据框架根据平台用户行为数据实现企业风险实时监测预警。