There’s a new major release of H2O and it’s packed with new features and fixes!
We named this release after David Wolpert , who is famous for inventing Stacking (aka Stacked Ensembles ). Stacking is a central component in H2O AutoML , so we’re very grateful for his contributions to machine learning! He is also famous for the “No Free Lunch” theorem, which generally states that no single algorithm will be the best in all cases. In other words, there’s no magic bullet. This is precisely why stacking is such a powerful and practical algorithm — you never know in advance if a Deep Neural Network, or GBM or Random Forest will be the best algorithm for your problem. When you combine all of these together into a stacked ensemble, you are guaranteed to benefit from the strengths of each of these algorithms. You can read more about Dr. Wolpert and his work here .
Below is a list of some of the highlights from the 3.18 release. As usual, you can see a list of all the items that went into this release at the Changes.md file in the h2o-3 GitHub repository.
Download here: http://h2o-release.s3.amazonaws.com/h2o/latest_stable.html