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.
In the H2O-3 User guide we should review and update the Mutliclass Classification [Section|http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/glm.html#multiclass-classification-multinomial-family] of the GLM Algorithm:
Checks should include: verifying if the indexing is correct. Additions should include: providing the fitted equation for a GLM as is provided in other [sections|http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/glm.html#logistic-regression-binomial-family]