Now that we have loaded the prostate dataset into H2O, we can build a Generalized Linear Model. For this purpose, please use the menu option Model > GLM or direct link.
GLM has multiple tuning parameters that can affect the model it will build. For example, you can change the general model family to binomial (logistic regression) or guassian or poisson, change the amount of L1 and L2 regularization, or alter which column from the dataset the model is predicting.