Method for determining optimal anomaly detection model for processing input data

Abstract

Disclosed is a computer program stored in a computer readable storage medium according to an exemplary embodiment of the present disclosure. When the computer program is executed by one or more processors of a computing device, the computer program may perform operations for managing a model, and the operations may include: generating an anomaly detection model including a plurality of anomaly detection sub models having a pre-learned network function through using a plurality of training data subsets included in a training data set; determining one or more anomaly detection sub models for calculating an input data among the generated anomaly detection sub models; and judging whether or not the anomaly is existed in the input data through using the one or more determined anomaly detection sub models.