H2O AutoML Learner (Regression)

Learns the specified types of models using H2O AutoML and returns the leading model amongst these. As part of the learning process, hyperparameters are automatically optimized by H2O using a random grid search.

Input ports

1. Type: H2O Frame
   H2O training frame.
   H2O Frame with training data.

Output ports

1. Type: H2O Model
   H2O AutoML leader model
   The best H2O model trained in the AutoML process based on the selected scoring metric. The leading model corresponds with the first row of the leaderboard table.
2. Type: Table
   H2O AutoML leaderboard
   A leaderboard of models trained in the AutoML process. The models are ranked by the selected scoring metric, i.e., the model of the first row is the one that is output.