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.
Now that we have ensembles in core H2O, it would probably be best to move the h2oEnsemble R package to it's own repo. It's currently located as a subfolder of the h2o-r folder in h2o-3: https://github.com/h2oai/h2o-3/tree/master/h2o-r/ensemble
We can leave the h2o-r/ensemble folder with a README.md that explains that the project has been moved to a new location. We can still track JIRAs under PUBDEV though using the "h2oEnsemble" component.
Now that we have ensembles in core H2O, it would probably be best to move the h2oEnsemble R package to it's own repo. It's currently located as a subfolder of the h2o-r folder in h2o-3: https://github.com/h2oai/h2o-3/tree/master/h2o-r/ensemble
We can leave the h2o-r/ensemble folder with a README.md that explains that the project has been moved to a new location. We can still track JIRAs under PUBDEV though using the "h2oEnsemble" component.