Putting it all together – algorithms, feature engineering, grid search, and AutoML
The H2O AutoML implementation is simple yet powerful, so why would we ever need grid search? In fact, for a lot of real-world enterprise use cases, any of the top candidates in an AutoML leaderboard would be great models to put into production. This is especially true of the stacked ensemble models produced by AutoML.
However, our coverage of grid search was not just to satisfy intellectual curiosity. A more involved process, which we will outline next, uses AutoML followed by a customized grid search to discover and fine-tune model performance.
An enhanced AutoML procedure
Here are the steps: