AUTOML

We have developed two AutoML methods with open-source software packages. Our first method is the Tree-Based Pipeline Optimization (TPOT) method that uses binary expression trees to represent ML pipelines with optimization provided by genetic programming and other stochastic search methods. TPOT resources are outlined here... The purpose of this site is to provide general information about the hot new field of automated machine learning (AutoML) and to provide links to our own Aliro accessible artificial intelligence system and Tree-Based Pipeline Optimization Tool (TPOT) algorithm and software for AutoML using Python and the scikit-learn machine learning library. We also provide links to some other commonly used AutoML methods and software... We are affiliated with the Artificial Intelligence Innovation Lab and the Center for Artificial Intelligence Research and Education at Cedars-Sinai Medical Center in Los Angeles.