January 2019
Beginner to intermediate
336 pages
7h 58m
English
Let's move on to training our models using the algorithms we mentioned earlier in this chapter. We'll start by training our generalized linear model (GLM) models. We'll build three GLM models:
Now we will start with training our models in the following section.
GLM_default_settings = H2OGeneralizedLinearEstimator(family='binomial', \ model_id='GLM_default',nfolds = 10, \ fold_assignment = "Modulo", \ keep_cross_validation_predictions = True)
H2OGeneralizedLinearEstimator fits a generalized linear model. It takes in a response variable and a set of predictor variables. ...