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.
Could lightgbm be added to AutoML?
http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/xgboost.html#lightgbm-emulation-mode-options
Thanks!