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 have default DRF & XRT but I think we are missing default models for the rest of the algos (GBM, DL) in the AutoML run. Instead of adding an additional DNN, we will replace the one that's there which is default but with hidden = [10,10,10] instead of the real default value for hidden layers, [200,200].
We have default DRF & XRT but I think we are missing default models for the rest of the algos (GBM, DL) in the AutoML run. Instead of adding an additional DNN, we will replace the one that's there which is default but with hidden = [10,10,10] instead of the real default value for hidden layers, [200,200].