Autonomicity Levels and Requirements for Automated Machine Learning
Keon Myung Lee, Kwang Il Kim, Jaesoo Yoo · 2017
Machine learning algorithms have various factors to be tuned for successful application. There have been strong demands on automating the tuning process in machine learning practices. This paper characterizes the autonomicity levels at which developers feel free from burdensome tuning tasks. The autonomicity levels range from level 0 to level 4 each of which has the requirements to be supported by the machine learning framework. The paper also presents an architecture of such a machine learning framework to support automated machine learning.