Automatic Machine Learning Frameworks of the Next Generation

Automated Machine Learning (AutoML) is a process of building a complete Machine Learning pipeline automatically, without (or with minimal) human help. The main goal of the AutoML framework was to find the best possible ML pipeline under the selected time budget. For its purpose, AutoML frameworks were training many different ML algorithms and tune their hyper-parameters. The improvements in the performance can be obtained by increasing the number of algorithms and checked hyper-parameters settings, which means longer computation time. The goal of AutoML analysis depends on the user.