HyperOpt for Automated Machine Learning With Scikit-Learn

Automated Machine Learning (AutoML) refers to techniques for automatically discovering well-performing models for predictive modeling tasks with very little user involvement. HyperOpt is an open-source library for large scale AutoML and HyperOpt-Sklearn is a wrapper for HyperOpt that supports AutoML with HyperOpt for the popular Scikit-Learn machine learning library, including the suite of data preparation transforms and classification and regression algorithms. In this tutorial, you will discover how to use HyperOpt for automatic machine learning with Scikit-Learn in Python. HyperOpt for Automated Machine Learning With Scikit-Learn Photo by Neil Williamson, some rights reserved. HyperOpt is an open-source Python library for Bayesian optimization developed by James Bergstra.