Related papers: A General Recipe for Automated Machine Learning in Practice

A General Recipe for Automated Machine Learning in Practice

URL: http://arxiv.org/abs/2308.15647v1
Date: Tue, 29 Aug 2023 21:49:28 GMT
Title: A General Recipe for Automated Machine Learning in Practice
Authors: Hernan Ceferino Vazquez
Abstract summary: We propose a frame of reference for building general AutoML systems. Our main idea is to distill the fundamental concepts in order to support them in a single design. We discuss some open problems related to the application of AutoML for future research.
Score: 0.0
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Automated Machine Learning (AutoML) is an area of research that focuses on developing methods to generate machine learning models automatically. The idea of being able to build machine learning models with very little human intervention represents a great opportunity for the practice of applied machine learning. However, there is very little information on how to design an AutoML system in practice. Most of the research focuses on the problems facing optimization algorithms and leaves out the details of how that would be done in practice. In this paper, we propose a frame of reference for building general AutoML systems. Through a narrative review of the main approaches in the area, our main idea is to distill the fundamental concepts in order to support them in a single design. Finally, we discuss some open problems related to the application of AutoML for future research.

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