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 should add a section about re-running AutoML with a new seed on the same project. Note: must set keep_cross_validation_predictions = TRUE if we want to get Stacked Ensembles on the second run that include all the models (including the new ones).
We should add a section about re-running AutoML with a new seed on the same project. Note: must set
keep_cross_validation_predictions = TRUE
if we want to get Stacked Ensembles on the second run that include all the models (including the new ones).