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H2O AutoML Learner

Analytics Integrations H2O Machine Learning Models AutoML
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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.

Node details

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.

Extension

The H2O AutoML Learner node is part of this extension:

Related workflows & nodes