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.
Create a system self-check system to let installers know that H2O runs on a cluster. Currently customers install H2O but then initially launch with too large a memory request, and believe that H2O doesn't run at all on their cluster. Reporting memory issues is a separate JIRA issue. This would run with limited memory and run through a basic job.
Create a system self-check system to let installers know that H2O runs on a cluster. Currently customers install H2O but then initially launch with too large a memory request, and believe that H2O doesn't run at all on their cluster. Reporting memory issues is a separate JIRA issue. This would run with limited memory and run through a basic job.