H2O AutoML Models

AutoML (Automated Machine Learning) platforms are getting more and more popular these days, as they allow us to automate the process of applying machine learning end-to-end. This offers the additional advantages of producing quicker and more straightforward solutions and models that quite often outperform hand-designed models. There are several such paid and open-source AutoML platforms in the market like H2O, Data Robot, Google AutoML, TPOT, Auto-Sklearn, etc. All of them come with their pros and cons, and I don't get into the debate of which one is the best of all. Instead, this article focuses on one of the latest features I observed in H2O AutoML -- "Model Explainability".