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.
Current latest release of XGBoost package for R (v 1.2.0.1) does not compile when building the R image for Jenkins.
This might be related to the fact that this new version requires c++14 where as previous required c++11.
Current latest release of XGBoost package for R (v 1.2.0.1) does not compile when building the R image for Jenkins. This might be related to the fact that this new version requires c++14 where as previous required c++11.