About Us

Incresophia implements the process of machine learning model evolution and continuous service based on continuous learning (Continental Machine Learning). In the academic circle, continuous learning refers to the process of automatic machine learning according to the changes of data, and to solve the problems such as concept drift and catastrophic forgetting caused by data changes. This process requires that the feature engineering methods, modeling methods and parameter tuning strategies used in the machine learning process can be implemented automatically. at the same time, better features, models and parameters can be automatically explored according to the data features. This automation feature makes the tool can be used as a tool to quickly verify the feasibility of machine learning scenarios.