H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
we're missing examples for Flow using the
runAutoML
task. We should also add basic tests using this Flow command: for more examples, cf. https://github.com/h2oai/h2o-3/tree/master/h2o-docs/src/product/flow/packs