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.
If a customer launches in Hadoop, and the job is rejected due to lack of resources, the job should report a suggested launch string that will work given the available resources and limits.
Something along the lines of:
"You tried launching with X, but resource Y was not available, try running with Z."
If a customer launches in Hadoop, and the job is rejected due to lack of resources, the job should report a suggested launch string that will work given the available resources and limits.
Something along the lines of: "You tried launching with X, but resource Y was not available, try running with Z."